13.3.12.3 Energy Minimization, Energy Maximization Computation, Function Solving

Greig, D., Porteous, B., Seheult, A.,
Exact Maximum a Posterori Estimation for Binary Images,
RoyalStat(B-51), No. 2, 1989, pp. 271-279. Show min-cut/max-flow algorithms can be used to minimize energy functions in vision. BibRef 8900

Gurwitz, C., Overton, M.L.,
A globally convergent algorithm for minimizing over the rotation group of quadratic forms,
PAMI(11), No. 11, November 1989, pp. 1228-1232.
IEEE DOI 0401
BibRef

Benamou, J.D., Brenier, Y.,
A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem,
NumMath(84), No. 3, 2000, pp. 375-393.
Springer DOI 1609
BibRef

Pérez, P.[Patrick], Chardin, A.[Annabelle], Laferté, J.M.[Jean-Marc],
Noniterative manipulation of discrete energy-based models for image analysis,
PR(33), No. 4, April 2000, pp. 573-586.
Elsevier DOI 0002
BibRef

Kolmogorov, V.,
Convergent Tree-Reweighted Message Passing for Energy Minimization,
PAMI(28), No. 10, October 2006, pp. 1568-1583.
IEEE DOI 0609

See also MAP Estimation via Agreement on (Hyper)Trees: Message-Passing and Linear-Programming Approaches. BibRef

Kolmogorov, V.,
A New Look at Reweighted Message Passing,
PAMI(37), No. 5, May 2015, pp. 919-930.
IEEE DOI 1504
Convergence BibRef

Kolmogorov, V.,
Graph Based Algorithms for Scene Reconstruction from Two or More Views,
Ph.D.Thesis, Cornell University, September 2003.
HTML Version. BibRef 0309

Bhusnurmath, A.[Arvind], Taylor, C.J.[Camillo Jose],
Graph Cuts via L_1 Norm Minimization,
PAMI(30), No. 10, October 2008, pp. 1866-1871.
IEEE DOI 0810
BibRef
And:
Solving Image Registration Problems Using Interior Point Methods,
ECCV08(IV: 638-651).
Springer DOI 0810
Reformulate GC as L1 min for energy minimization problems. BibRef

Preusser, T.[Tobias], Scharr, H.[Hanno], Krajsek, K.[Kai], Kirby, R.M.[Robert M.],
Building Blocks for Computer Vision with Stochastic Partial Differential Equations,
IJCV(80), No. 3, December 2008, pp. xx-yy.
Springer DOI 0810
Get PDF in addition to the solution to the value at the pixel. BibRef

Rao, S.[Sudhir], de Medeiros Martins, A.[Allan], Principe, J.C.[Jose C.],
Mean shift: An information theoretic perspective,
PRL(30), No. 3, 1 February 2009, pp. 222-230.
Elsevier DOI 0804
Mean shift; Information theoretic learning; Renyi's entropy Analysis of mean shift. Gaussian bluring MS and Gaussian MS. BibRef

Rodriguez, P.[Paul], Wohlberg, B.[Brendt],
Efficient Minimization Method for a Generalized Total Variation Functional,
IP(18), No. 2, February 2009, pp. 322-332.
IEEE DOI 0901
BibRef
And:
A generalized vector-valued total variation algorithm,
ICIP09(1309-1312).
IEEE DOI 0911
BibRef

Rodriguez, P.[Paul], Wohlberg, B.[Brendt],
Fast principal component pursuit via alternating minimization,
ICIP13(69-73)
IEEE DOI 1402
BibRef
And:
A comparison of the computational performance of Iteratively Reweighted Least Squares and alternating minimization algorithms for L1 inverse problems,
ICIP12(3069-3072).
IEEE DOI 1302
Approximation algorithms BibRef

Rodriguez, P.[Paul],
Multiplicative updates algorithm to minimize the generalized total variation functional with a non-negativity constraint,
ICIP10(2509-2512).
IEEE DOI 1009
BibRef

Bar, L.[Leah], Sapiro, G.[Guillermo],
Generalized Newton-Type Methods For Energy Formulations In Image Processing,
SIIMS(2), No. 2, 2009, pp. 508-531.
WWW Link.
DOI Link BibRef 0900
Earlier:
Generalized Newton methods for energy formulations in image procesing,
ICIP08(809-812).
IEEE DOI 0810
Newton method; variational methods; trust-region; generalized inner product; geometric active contours; deblurring BibRef

Bar, L.[Leah], Sapiro, G.[Guillermo],
Hierarchical invariant sparse modeling for image analysis,
ICIP11(2397-2400).
IEEE DOI 1201
BibRef

Wang, X.Y.[Xing-Yuan], Song, W.J.[Wen-Jing], Zou, L.X.[Li-Xian],
Julia Set of the Newton Method for Solving Some Complex Exponential Equation,
IJIG(9), No. 2, April 2009, pp. 153-169. 0905
BibRef

Hwang, J.K., Li, Y.P.,
Variable Step-Size LMS Algorithm With a Gradient-Based Weighted Average,
SPLetters(16), No. 12, December 2009, pp. 1043-1046.
IEEE DOI 0909
BibRef

Yu, D.[Dong], Deng, L.[Li], Acero, A.[Alex],
Using continuous features in the maximum entropy model,
PRL(30), No. 14, 15 October 2009, pp. 1295-1300.
Elsevier DOI 0909
Maximum entropy principle; Spline interpolation; Continuous feature; Maximum entropy model; Moment constraint; Distribution constraint BibRef

Leung, S.Y.[Shing-Yu], Liang, G.[Gang], Solna, K.[Knut], Zhao, H.K.[Hong-Kai],
Expectation-Maximization Algorithm With Local Adaptivity,
SIIMS(2), No. 3, 2009, pp. 834-857.
WWW Link.
DOI Link expectation-maximization algorithm; Gaussian mixture model; posterior probability; local adaptivity; image segmentation BibRef 0900

Xu, S.G.[Song-Gang], Zhang, Y.X.[Yun-Xiang], Yong, J.H.[Jun-Hai],
A Fast Sweeping Method for Computing Geodesics on Triangular Manifolds,
PAMI(32), No. 2, February 2010, pp. 231-241.
IEEE DOI 1001
Computations for graphics applications. BibRef

Zeng, T., Ng, M.K.[Michael K.],
On the Total Variation Dictionary Model,
IP(19), No. 3, March 2010, pp. 821-825.
IEEE DOI 1003
BibRef

Pang, Y., Li, X.L., Yuan, Y.,
Robust Tensor Analysis With L1-Norm,
CirSysVideo(20), No. 2, February 2010, pp. 172-178.
IEEE DOI 1003
General computational technique. BibRef

Ghanem, B.[Bernard], Ahuja, N.[Narendra],
Dinkelbach NCUT: An Efficient Framework for Solving Normalized Cuts Problems with Priors and Convex Constraints,
IJCV(89), No. 1, August 2010, pp. xx-yy.
Springer DOI 1004
Dinkelbach NCUT. Normalized graph cut. BibRef

Mirebeau, J.M.[Jean-Marie], Cohen, A.[Albert],
Anisotropic Smoothness Classes: From Finite Element Approximation to Image Models,
JMIV(38), No. 1, September 2010, pp. 52-69.
WWW Link. 1011
For jump discontinuities along piecewise smooth curves. Use rather than total variation semi-norm. BibRef

Yin, W.T.[Wo-Tao],
Analysis and Generalizations of the Linearized Bregman Method,
SIIMS(3), No. 4, 2010, pp. 856-877.
WWW Link.
DOI Link 1011
Bregman; linearized Bregman; compressed sensing; L_1-minimization; basis pursuit BibRef

Mandic, D.P., Jahanchahi, C., Took, C.C.,
A Quaternion Gradient Operator and Its Applications,
SPLetters(18), No. 1, January 2011, pp. 47-50.
IEEE DOI 1101
calculations on quaternions BibRef

Bae, E.[Egil], Yuan, J.[Jing], Tai, X.C.[Xue-Cheng],
Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach,
IJCV(92), No. 1, March 2011, pp. 112-129.
WWW Link. 1103
BibRef
Earlier: A2, A1, A3:
A study on continuous max-flow and min-cut approaches,
CVPR10(2217-2224).
IEEE DOI 1006
BibRef

Bae, E.[Egil], Tai, X.C.[Xue-Cheng], Yuan, J.[Jing],
Maximizing Flows with Message-Passing: Computing Spatially Continuous Min-Cuts,
EMMCVPR15(15-28).
Springer DOI 1504
BibRef

Vaidyanathan, P.P., Pal, P.,
Generating New Commuting Coprime Matrix Pairs From Known Pairs,
SPLetters(18), No. 5, May 2011, pp. 303-306.
IEEE DOI 1103
BibRef

Chambolle, A.[Antonin], Pock, T.[Thomas],
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging,
JMIV(40), No. 1, May 2011, pp. 120-145.
Springer DOI 1103
BibRef

Chambolle, A.[Antonin], Tan, P.[Pauline], Vaiter, S.[Samuel],
Accelerated Alternating Descent Methods for Dykstra-Like Problems,
JMIV(59), No. 3, November 2017, pp. 481-497.
Springer DOI 1710
BibRef

Valkonen, T.[Tuomo], Pock, T.[Thomas],
Acceleration of the PDHGM on Partially Strongly Convex Functions,
JMIV(59), No. 3, November 2017, pp. 394-414.
Springer DOI 1710

See also First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging, A. BibRef

France, S.L., Carroll, J.D.,
Two-Way Multidimensional Scaling: A Review,
SMC-C(41), No. 5, September 2011, pp. 644-661.
IEEE DOI 1109
extract a set of independent variables from a proximity matrix or matrices. BibRef

Koutis, I.[Ioannis], Miller, G.L.[Gary L.], Tolliver, D.A.[David A.],
Combinatorial Preconditioners and Multilevel Solvers for Problems in Computer Vision and Image Processing,
CVIU(115), No. 12, December 2011, pp. 1638-1646.
Elsevier DOI 1111
BibRef
Earlier: ISVC09(I: 1067-1078).
Springer DOI 0911
Linear system solvers; Eigensolvers; Multilevel methods; Multigrid; Preconditioning BibRef

Wagner, K., Doroslovacki, M.,
Probability Density of Weight Deviations Given Preceding Weight Deviations for Proportionate-Type LMS Adaptive Algorithms,
SPLetters(18), No. 11, November 2011, pp. 667-670.
IEEE DOI 1112
PDF computations. BibRef

Delong, A.[Andrew], Osokin, A.[Anton], Isack, H.N.[Hossam N.], Boykov, Y.Y.[Yuri Y.],
Fast Approximate Energy Minimization with Label Costs,
IJCV(96), No. 1, January 2012, pp. 1-27.
WWW Link. 1201
BibRef
Earlier: CVPR10(2173-2180).
IEEE DOI 1006
BibRef

Gorelick, L.[Lena], Boykov, Y.Y.[Yuri Y.], Veksler, O.[Olga], Ben Ayed, I.[Ismail], Delong, A.[Andrew],
Local Submodularization for Binary Pairwise Energies,
PAMI(39), No. 10, October 2017, pp. 1985-1999.
IEEE DOI 1709
BibRef
Earlier:
Submodularization for Binary Pairwise Energies,
CVPR14(1154-1161)
IEEE DOI 1409
Approximation algorithms, Linear approximation, Optimization, Standards, Taylor series, Upper bound, auxiliary functions, graph cuts, local submodularization, trust region BibRef

Gorelick, L.[Lena], Boykov, Y.Y.[Yuri Y.], Veksler, O.[Olga],
Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies,
CVPR17(6062-6070)
IEEE DOI 1711
Linear approximation, Optimization, Pattern recognition, Upper, bound BibRef

Delong, A.[Andrew], Gorelick, L.[Lena], Veksler, O.[Olga], Boykov, Y.Y.[Yuri Y.],
Minimizing Energies with Hierarchical Costs,
IJCV(100), No. 1, October 2012, pp. 38-58.
WWW Link. 1208
BibRef

Isack, H.N.[Hossam N.], Boykov, Y.Y.[Yuri Y.],
Energy-Based Geometric Multi-model Fitting,
IJCV(97), No. 2, April 2012, pp. 123-147.
WWW Link. 1203
BibRef

Isack, H.[Hossam], Boykov, Y.Y.[Yuri Y.],
Energy Based Multi-model Fitting & Matching for 3D Reconstruction,
CVPR14(1146-1153)
IEEE DOI 1409
assignment problem BibRef

Orieux, F., Feron, O., Giovannelli, J.F.,
Sampling High-Dimensional Gaussian Distributions for General Linear Inverse Problems,
SPLetters(19), No. 5, May 2012, pp. 251-254.
IEEE DOI 1204
BibRef

Boissy, J., Giovannelli, J.F., Minvielle, P.,
An Insight Into the Gibbs Sampler: Keep the Samples or Drop Them?,
SPLetters(27), 2020, pp. 2069-2073.
IEEE DOI 2012
Bayesian statistics, burn-in, gibbs, MCMC BibRef

Goldluecke, B.[Bastian], Strekalovskiy, E.[Evgeny], Cremers, D.[Daniel],
The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory,
SIIMS(5), No. 2 2012, pp. 537.
DOI Link 1205
BibRef
Earlier: A1, A3, Only:
An approach to vectorial total variation based on geometric measure theory,
CVPR10(327-333).
IEEE DOI 1006

See also Total Cyclic Variation and Generalizations. BibRef

Strekalovskiy, E.[Evgeny], Chambolle, A.[Antonin], Cremers, D.[Daniel],
Convex Relaxation of Vectorial Problems with Coupled Regularization,
SIIMS(7), No. 1, 2014, pp. 294-336.
DOI Link 1404
BibRef
Earlier:
A convex representation for the vectorial Mumford-Shah functional,
CVPR12(1712-1719).
IEEE DOI 1208
BibRef

Mittal, S.[Sushil], Meer, P.[Peter],
Conjugate gradient on Grassmann manifolds for robust subspace estimation,
IVC(30), No. 6-7, June 2012, pp. 417-427.
Elsevier DOI 1206
Grassmann manifolds; Conjugate gradient algorithm; Generalized projection based M-estimator BibRef

Yang, X.[Xiang], Meer, P.[Peter], Meer, J.[Jonathan],
A New Approach to Robust Estimation of Parametric Structures,
PAMI(43), No. 11, November 2021, pp. 3754-3769.
IEEE DOI 2110
Estimation, Robustness, Linear programming, structures segmentation BibRef

Arias-Castro, E.[Ery], Salmon, J.[Joseph], Willett, R.[Rebecca],
Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods,
SIIMS(5), No. 3 2012, pp. 944-992.
DOI Link 1209
BibRef

Li, F.[Fang], Zeng, T.Y.[Tie-Yong], Zhang, G.X.[Gui-Xu],
Lagrangian multipliers and split Bregman methods for minimization problems constrained on S^(n-1),
JVCIR(23), No. 7, October 2012, pp. 1041-1050.
Elsevier DOI 1209
Lagrangian method; Split Bregman method; Total variation BibRef

Chellappa, R.[Rama],
Mathematical statistics and computer vision,
IVC(30), No. 8, August 2012, pp. 467-468.
Elsevier DOI 1209
Opinion paper; Mathematical statistics; Manifolds; Markov random fields; Particle filters; Simulated annealing BibRef

Li, W.P., Wang, Z.M., Deng, Y.,
Efficient Algorithm for Nonconvex Minimization and Its Application to PM Regularization,
IP(21), No. 10, October 2012, pp. 4322-4333.
IEEE DOI 1209
BibRef

Mittal, S.[Sushil], Anand, S.[Saket], Meer, P.[Peter],
Generalized Projection-Based M-Estimator,
PAMI(34), No. 12, December 2012, pp. 2351-2364.
IEEE DOI 1210
BibRef
Earlier:
Generalized projection based M-estimator: Theory and applications,
CVPR11(2689-2696).
IEEE DOI 1106
BibRef

Wang, D.Q.[Dong-Qing], Ding, F.[Feng],
Hierarchical Least Squares Estimation Algorithm for Hammerstein-Wiener Systems,
SPLetters(19), No. 12, December 2012, pp. 825-828.
IEEE DOI 1212
BibRef

Arablouei, R., Dogancay, K.,
Linearly-Constrained Recursive Total Least-Squares Algorithm,
SPLetters(19), No. 12, December 2012, pp. 821-824.
IEEE DOI 1212
BibRef

Song, I.[Insun], Park, P.[PooGyeon],
A Normalized Least-Mean-Square Algorithm Based on Variable-Step-Size Recursion With Innovative Input Data,
SPLetters(19), No. 12, December 2012, pp. 817-820.
IEEE DOI 1212
BibRef

Bayram, I., Kamasak, M.E.,
Directional Total Variation,
SPLetters(19), No. 12, December 2012, pp. 781-784.
IEEE DOI 1212
Gradient weighted by direction. BibRef

Farina, A., Giompapa, S., Graziano, A., Liburdi, A., Ravanelli, M., Zirilli, F.,
Tartaglia-Pascal's triangle: a historical perspective with applications,
SIViP(7), No. 1, January 2013, pp. 173-188.
WWW Link. 1301
BibRef

Kuk, J.G.[Jung Gap], Cho, N.I.[Nam Ik],
Weighted gradient domain image processing problems and their iterative solutions,
JIVP(2012), No. 1, 2013, pp. 7.
DOI Link 1302
explores an energy function and its minimization for the weighted gradient domain image processing BibRef

Lefkimmiatis, S., Ward, J.P., Unser, M.,
Hessian Schatten-Norm Regularization for Linear Inverse Problems,
IP(22), No. 5, May 2013, pp. 1873-1888.
IEEE DOI 1303
BibRef

Rastegarnia, A.[Amir], Tinati, M.A.[Mohammad Ali], Khalili, A.[Azam],
Steady-state analysis of quantized distributed incremental LMS algorithm without Gaussian restriction,
SIViP(7), No. 2, March 2013, pp. 227-234.
Springer DOI 1303
BibRef

Eweda, E.[Eweda], Zerguine, A.[Azzedine],
New insights into the normalization of the least mean fourth algorithm,
SIViP(7), No. 2, March 2013, pp. 255-262.
Springer DOI 1303
BibRef

Pereira, S.S., Lopez-Valcarce, R., Pages-Zamora, A.,
A Diffusion-Based EM Algorithm for Distributed Estimation in Unreliable Sensor Networks,
SPLetters(20), No. 6, 2013, pp. 595-598.
IEEE DOI 1307
expectation-maximisation algorithm; data failure events BibRef

Gaurav, D.D., Hari, K.V.S.,
A Fast Eigen Solution for Homogeneous Quadratic Minimization With at Most Three Constraints,
SPLetters(20), No. 10, 2013, pp. 968-971.
IEEE DOI 1309
Eigenvalues and eigenfunctions BibRef

Luke, D.R.[D. Russell],
Prox-Regularity of Rank Constraint Sets and Implications for Algorithms,
JMIV(47), No. 3, November 2013, pp. 231-238.
Springer DOI 1309
BibRef

Roonizi, E.K.[E. Kheirati],
A New Algorithm for Fitting a Gaussian Function Riding on the Polynomial Background,
SPLetters(20), No. 11, 2013, pp. 1062-1065.
IEEE DOI 1310
amplitude estimation BibRef

Heinrich, S.B.[Stuart B.],
Efficient and robust model fitting with unknown noise scale,
IVC(31), No. 10, 2013, pp. 735-747.
Elsevier DOI 1310
Robust estimation BibRef

Raguet, H., Fadili, J., Peyré, G.,
A Generalized Forward-Backward Splitting,
SIIMS(6), No. 3, 2013, pp. 1199-1226.
DOI Link 1310
for finding a zero of a sum of maximal monotone operators BibRef

Xiao, L.[Li], Xia, X.G.[Xiang-Gen],
A Generalized Chinese Remainder Theorem for Two Integers,
SPLetters(21), No. 1, January 2014, pp. 55-59.
IEEE DOI 1402
number theory BibRef

Farina, A., Frasca, M., Sedehi, M.,
Solving Schrödinger equation via Tartaglia/Pascal triangle: A possible link between stochastic processing and quantum mechanics,
SIViP(8), No. 1, January 2014, pp. 27-37.
WWW Link. 1402
BibRef

Esser, E., Lou, Y., Xin, J.,
A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications,
SIIMS(6), No. 4, 2013, pp. 2010-2046.
DOI Link 1402
BibRef

Dai, L.[Liang], Soltanalian, M., Pelckmans, K.,
On the Randomized Kaczmarz Algorithm,
SPLetters(21), No. 3, March 2014, pp. 330-333.
IEEE DOI 1403
solving a consistent system of over determined linear equations. convex programming BibRef

Lei, Y.W.[Yun-Wen], Zhou, D.X.[Ding-Xuan],
Learning Theory of Randomized Sparse Kaczmarz Method,
SIIMS(11), No. 1, 2018, pp. 547-574.
DOI Link 1804
BibRef

Li, H.[Housen], Haltmeier, M.[Markus],
The Averaged Kaczmarz Iteration for Solving Inverse Problems,
SIIMS(11), No. 1, 2018, pp. 618-642.
DOI Link 1804
BibRef

Tanaka, M., Nakata, K.,
Successive Projection Method for Well-Conditioned Matrix Approximation Problems,
SPLetters(21), No. 4, April 2014, pp. 418-422.
IEEE DOI 1403
matrix algebra BibRef

Li, H.F.[Hai-Feng], Fu, Y.[Yuli], Hu, R.[Rui], Rong, R.[Rong],
Perturbation Analysis of Greedy Block Coordinate Descent Under RIP,
SPLetters(21), No. 5, May 2014, pp. 518-522.
IEEE DOI 1404
greedy algorithms BibRef

d'Amico, A.A.,
A 'Reciprocity' Property of the Unbiased Cramer-Rao Bound for Vector Parameter Estimation,
SPLetters(21), No. 5, May 2014, pp. 615-619.
IEEE DOI 1404
estimation theory BibRef

Zhang, S.[Sheng], Zhang, J.S.[Jia-Shu],
New Steady-State Analysis Results of Variable Step-Size LMS Algorithm With Different Noise Distributions,
SPLetters(21), No. 6, June 2014, pp. 653-657.
IEEE DOI 1404
least mean squares methods BibRef

Xu, D., Yin, B., Wang, W., Zhu, W.,
Variable Tap-Length LMS Algorithm Based on Adaptive Parameters for TDL Structure Adaption,
SPLetters(21), No. 7, July 2014, pp. 809-813.
IEEE DOI 1405
Algorithm design and analysis. tapped-delay-line (TDL). BibRef

Liao, X., Li, H., Carin, L.,
Generalized Alternating Projection for Weighted-L_(2,1) Minimization with Applications to Model-Based Compressive Sensing,
SIIMS(7), No. 2, 2014, pp. 797-823.
DOI Link 1405
BibRef

Kushnarev, S., Narayan, A.[Akil],
Approximating the Weil-Petersson Metric Geodesics on the Universal Teichmüller Space by Singular Solutions,
SIIMS(7), No. 2, 2014, pp. 900-923.
DOI Link 1405
BibRef

Feiszli, M.[Matt], Narayan, A.[Akil],
Numerical Computation of Weil-Peterson Geodesics in the Universal Teichmüller Space,
SIIMS(10), No. 3, 2017, pp. 1322-1345.
DOI Link 1710
BibRef

Chen, J., Bermudez, J.C.M., Richard, C.,
Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants,
SPLetters(21), No. 8, August 2014, pp. 928-932.
IEEE DOI 1406
Algorithm design and analysis BibRef

Chen, J.[Jie], Richard, C.[Cédric], Song, Y.Y.[Ying-Ying], Brie, D.[David],
Transient Performance Analysis of Zero-Attracting LMS,
SPLetters(23), No. 12, December 2016, pp. 1786-1790.
IEEE DOI 1612
identification BibRef

Gao, W.[Wei], Chen, J.[Jie], Richard, C.[Cédric],
Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs,
SPLetters(28), 2021, pp. 1160-1164.
IEEE DOI 2106
Signal processing algorithms, Transient analysis, Convergence, Steady-state, Correlation, Simulation, Performance analysis, cyclostationary colored inputs BibRef

Song, C.B., Xia, S.T.,
Sparse Signal Recovery by L_q Minimization Under Restricted Isometry Property,
SPLetters(21), No. 9, Sept 2014, pp. 1154-1158.
IEEE DOI 1406
Approximation methods BibRef

González, J.[Javier], Vujacic, I.[Ivan], Wit, E.[Ernst],
Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations,
PRL(45), No. 1, 2014, pp. 26-32.
Elsevier DOI 1407
System of ordinary differential equations BibRef

Lorenz, D., Schöpfer, F., Wenger, S.,
The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations,
SIIMS(7), No. 2, 2014, pp. 1237-1262.
DOI Link 1407
Sparse solutions to systems of equations. BibRef

Lim, Y.S.[Yong-Sub], Jung, K.[Kyomin], Kohli, P.[Pushmeet],
Efficient Energy Minimization for Enforcing Label Statistics,
PAMI(36), No. 9, September 2014, pp. 1893-1899.
IEEE DOI 1408
BibRef
Earlier:
Energy Minimization under Constraints on Label Counts,
ECCV10(II: 535-551).
Springer DOI 1009
Computational modeling BibRef

Kamilov, U.S., Bostan, E., Unser, M.,
Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems,
SPLetters(21), No. 11, November 2014, pp. 1326-1330.
IEEE DOI 1408
inverse problems BibRef

Parhi, R.[Rahul], Unser, M.[Michael],
The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems,
SPLetters(30), 2023, pp. 568-572.
IEEE DOI 2305
Spinning, Inverse problems, Discrete wavelet transforms, Noise reduction, Dictionaries, Costs, Wavelet domain, Cycle spinning, wavelets BibRef

Weruaga, L., Jimaa, S.,
Exact NLMS Algorithm with L_p-Norm Constraint,
SPLetters(22), No. 3, March 2015, pp. 366-370.
IEEE DOI 1410
exact normalized least-mean-square. Adaptive algorithms BibRef

Mehanna, O., Huang, K.[Kejun], Gopalakrishnan, B., Konar, A., Sidiropoulos, N.D.,
Feasible Point Pursuit and Successive Approximation of Non-Convex QCQPs,
SPLetters(22), No. 7, July 2015, pp. 804-808.
IEEE DOI 1412
approximation theory Quadratically constrained quadratic programs. BibRef

Zhao, J., Liao, X., Wang, S., Tse, C.K.,
Kernel Least Mean Square with Single Feedback,
SPLetters(22), No. 7, July 2015, pp. 953-957.
IEEE DOI 1412
Algorithm design and analysis BibRef

Wang, S., Zheng, Y., Ling, C.,
Regularized Kernel Least Mean Square Algorithm with Multiple-delay Feedback,
SPLetters(23), No. 1, January 2016, pp. 98-101.
IEEE DOI 1601
Accuracy BibRef

Shenoy, S., Gorinevsky, D.,
Estimating Long Tail Models for Risk Trends,
SPLetters(22), No. 7, July 2015, pp. 968-972.
IEEE DOI 1412
Bayes methods. Trends of extreme events statistics. BibRef

Chang, C.I.[Chein-I], Schultz, R.C., Hobbs, M.C., Chen, S.Y.[Shih-Yu], Wang, Y.[Yulei], Liu, C.H.[Chun-Hong],
Progressive Band Processing of Constrained Energy Minimization for Subpixel Detection,
GeoRS(53), No. 3, March 2015, pp. 1626-1637.
IEEE DOI 1412
geophysical image processing BibRef

He, B.S.[Bing-Sheng], You, Y.F.[Yan-Fei], Yuan, X.M.[Xiao-Ming],
On the Convergence of Primal-Dual Hybrid Gradient Algorithm,
SIIMS(7), No. 4, 2014, pp. 2526-2537.
DOI Link 1412
BibRef

He, B.S.[Bing-Sheng], Ma, F.[Feng], Yuan, X.M.[Xiao-Ming],
An Algorithmic Framework of Generalized Primal-Dual Hybrid Gradient Methods for Saddle Point Problems,
JMIV(58), No. 2, June 2017, pp. 279-293.
Springer DOI 1704
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He, B.S.[Bing-Sheng], Ma, F.[Feng], Xu, S.J.[Sheng-Jie], Yuan, X.M.[Xiao-Ming],
A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems,
SIIMS(15), No. 3, 2022, pp. 1157-1183.
DOI Link 2208
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Wu, M., Yang, J.,
A Step Size Control Method for Deficient Length FBLMS Algorithm,
SPLetters(22), No. 9, September 2015, pp. 1448-1451.
IEEE DOI 1503
FBLMS: frequency-domain block least-mean-square. Convergence BibRef

Lorenz, D.A.[Dirk A.], Pock, T.[Thomas],
An Inertial Forward-Backward Algorithm for Monotone Inclusions,
JMIV(51), No. 2, February 2015, pp. 311-325.
Springer DOI 1503
compute a zero of the sum of two monotone operators. BibRef

Ramirez, C.[Carlos], Argaez, M.[Miguel],
An L1 minimization algorithm for non-smooth regularization in image processing,
SIViP(9), No. 2, February 2015, pp. 373-386.
Springer DOI 1503
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Xiao, J.[Jin], Ng, M.K.P., Yang, Y.F.[Yu-Fei],
On the Convergence of Nonconvex Minimization Methods for Image Recovery,
IP(24), No. 5, May 2015, pp. 1587-1598.
IEEE DOI 1504
convergence of numerical methods BibRef

Ouyang, Y.Y.[Yu-Yuan], Chen, Y.M.[Yun-Mei], Lan, G.H.[Guang-Hui], Pasiliao, Jr., E.[Eduardo],
An Accelerated Linearized Alternating Direction Method of Multipliers,
SIIMS(8), No. 1, 2015, pp. 644-681.
DOI Link 1504
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Briskman, J.[Jonathan], Needell, D.[Deanna],
Block Kaczmarz Method with Inequalities,
JMIV(52), No. 3, July 2015, pp. 385-396.
Springer DOI 1506
solves systems of linear equations BibRef

Zanni, L.[Luca], Benfenati, A.[Alessandro], Bertero, M.[Mario], Ruggiero, V.[Valeria],
Numerical Methods for Parameter Estimation in Poisson Data Inversion,
JMIV(52), No. 3, July 2015, pp. 397-413.
Springer DOI 1506
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Arora, C.[Chetan], Banerjee, S.[Subhashis], Kalra, P.K.[Prem K.], Maheshwari, S.N.,
Generalized Flows for Optimal Inference in Higher Order MRF-MAP,
PAMI(37), No. 7, July 2015, pp. 1323-1335.
IEEE DOI 1506
BibRef
Earlier:
Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems,
CVPR14(1338-1345)
IEEE DOI 1409
Algorithm design and analysis BibRef

Shanu, I., Arora, C., Maheshwari, S.N.,
Inference in Higher Order MRF-MAP Problems with Small and Large Cliques,
CVPR18(7883-7891)
IEEE DOI 1812
Labeling, Inference algorithms, Computational modeling, Frequency modulation, Message passing, BibRef

Shanu, I., Arora, C., Singla, P.,
Min Norm Point Algorithm for Higher Order MRF-MAP Inference,
CVPR16(5365-5374)
IEEE DOI 1612
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Shanu, I.[Ishant], Bharti, S.[Siddhant], Arora, C.[Chetan], Maheshwari, S.N.,
An Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100,
ECCV20(XX:257-274).
Springer DOI 2011
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Arora, C.[Chetan], Maheshwari, S.N.,
Multi-label Generic Cuts: Optimal Inference in Multi-label Multi-clique MRF-MAP Problems,
CVPR14(1346-1353)
IEEE DOI 1409
BibRef

Dai, L.[Liang], Schon, T.B.,
On the Exponential Convergence of the Kaczmarz Algorithm,
SPLetters(22), No. 10, October 2015, pp. 1571-1574.
IEEE DOI 1506
asymptotic stability BibRef

Chen, L.M.[La-Ming], Gu, Y.T.[Yuan-Tao],
On the Null Space Constant for L_p Minimization,
SPLetters(22), No. 10, October 2015, pp. 1600-1603.
IEEE DOI 1506
compressed sensing BibRef

Lenti, F., Nunziata, F., Estatico, C., Migliaccio, M.,
Analysis of Reconstructions Obtained Solving l^p -Penalized Minimization Problems,
GeoRS(53), No. 9, September 2015, pp. 4876-4886.
IEEE DOI 1506
Image reconstruction BibRef

Cherfils, L.[Laurence], Fakih, H.[Hussein], Miranville, A.[Alain],
On the Bertozzi-Esedoglu-Gillette-Cahn-Hilliard Equation with Logarithmic Nonlinear Terms,
SIIMS(8), No. 2, 2015, pp. 1123-1140.
DOI Link 1507
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Cherfils, L.[Laurence], Fakih, H.[Hussein], Miranville, A.[Alain],
A Cahn-Hilliard System with a Fidelity Term for Color Image Inpainting,
JMIV(54), No. 1, January 2016, pp. 117-131.
Springer DOI 1601
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Li, X.X.[Xin-Xin], Yuan, X.M.[Xiao-Ming],
A Proximal Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming with Applications to Imaging,
SIIMS(8), No. 2, 2015, pp. 1332-1365.
DOI Link 1507
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Sreejith, K., Kalyani, S.,
High SNR Consistent Thresholding for Variable Selection,
SPLetters(22), No. 11, November 2015, pp. 1940-1944.
IEEE DOI 1509
iterative methods BibRef

Blomberg, N., Rojas, C.R., Wahlberg, B.,
Regularization Paths for Re-Weighted Nuclear Norm Minimization,
SPLetters(22), No. 11, November 2015, pp. 1980-1984.
IEEE DOI 1509
Hankel matrices BibRef

Yin, H.L.[Han-Lin], Li, X.R., Lan, J.[Jian],
Iterative Mid-Range with Application to Estimation Performance Evaluation,
SPLetters(22), No. 11, November 2015, pp. 2044-2048.
IEEE DOI 1509
estimation theory BibRef

Djurovic, I.[Igor], Simeunovic, M.[Marko],
Combined HO-CPF and HO-WD PPS estimator,
SIViP(9), No. 6, September 2015, pp. 1395-1400.
WWW Link. 1509
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Xiao, L.[Li], Xia, X.G.[Xiang-Gen], Huo, H.[Haiye],
New Conditions on Achieving the Maximal Possible Dynamic Range for a Generalized Chinese Remainder Theorem of Multiple Integers,
SPLetters(22), No. 12, December 2015, pp. 2199-2203.
IEEE DOI 1512
algebra BibRef

Naderpour, M., Ghobadzadeh, A., Tadaion, A., Gazor, S.,
Generalized Wald Test for Binary Composite Hypothesis Test,
SPLetters(22), No. 12, December 2015, pp. 2239-2243.
IEEE DOI 1512
matrix algebra BibRef

Boukouvalas, Z., Said, S., Bombrun, L., Berthoumieu, Y., Adali, T.,
A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation,
SPLetters(22), No. 12, December 2015, pp. 2314-2318.
IEEE DOI 1512
Gaussian distribution BibRef

Bayram, I.,
Proximal Mappings Involving Almost Structured Matrices,
SPLetters(22), No. 12, December 2015, pp. 2264-2268.
IEEE DOI 1512
matrix inversion BibRef

Makalic, E., Schmidt, D.F.,
A Simple Sampler for the Horseshoe Estimator,
SPLetters(23), No. 1, January 2016, pp. 179-182.
IEEE DOI 1601
Bayes methods BibRef

Darbon, J.[Jérôme],
On Convex Finite-Dimensional Variational Methods in Imaging Sciences and Hamilton-Jacobi Equations,
SIIMS(8), No. 4, 2015, pp. 2268-2293.
DOI Link 1601
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Ambikasaran, S., Foreman-Mackey, D., Greengard, L., Hogg, D.W., O'Neil, M.,
Fast Direct Methods for Gaussian Processes,
PAMI(38), No. 2, February 2016, pp. 252-265.
IEEE DOI 1601
Acceleration BibRef

Shekhovtsov, A.[Alexander],
Higher order maximum persistency and comparison theorems,
CVIU(143), No. 1, 2016, pp. 54-79.
Elsevier DOI 1601
Persistency BibRef

Shekhovtsov, A.[Alexander], Swoboda, P.[Paul], Savchynskyy, B.[Bogdan],
Maximum Persistency via Iterative Relaxed Inference in Graphical Models,
PAMI(40), No. 7, July 2018, pp. 1668-1682.
IEEE DOI 1806
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Earlier:
Maximum persistency via iterative relaxed inference with graphical models,
CVPR15(521-529)
IEEE DOI 1510
Graphical models, Inference algorithms, Labeling, Linear programming, Optimization, Signal processing algorithms, partial optimality BibRef

Nakamura, I.[Ibuki], Tonomura, Y.[Yoshihide], Kiya, H.[Hitoshi],
Unitary Transform-Based Template Protection and Its Application to l2-norm Minimization Problems,
IEICE(E99-D), No. 1, January 2016, pp. 60-68.
WWW Link. 1601
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Saab, K.K., Saab, S.S.,
A Stochastic Newton-Raphson Method with Noisy Function Measurements,
SPLetters(23), No. 3, March 2016, pp. 361-365.
IEEE DOI 1603
AWGN BibRef

Niri, E.D.[Ehsan Dehghan], Singh, T.[Tarunraj],
Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data,
PR(55), No. 1, 2016, pp. 160-171.
Elsevier DOI 1604
Parameter estimation solving gradient weighted least squares problems. BibRef

Le Gall, Y., Socheleau, F.X., Bonnel, J.,
Matched-Field Performance Prediction with Model Mismatch,
SPLetters(23), No. 4, April 2016, pp. 409-413.
IEEE DOI 1604
acoustic communication (telecommunication) BibRef

Song, S., Si, B., Herrmann, J.M., Feng, X.,
Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field,
IP(25), No. 5, May 2016, pp. 2324-2336.
IEEE DOI 1604
Computational modeling BibRef

Bayram, I.[Ilker],
Solution of a Bivariate L_1 Regularized Problem,
SPLetters(23), No. 5, May 2016, pp. 653-657.
IEEE DOI 1604
Acceleration BibRef

Coelho, M.A.N.[Maurício Archanjo Nunes], Borges, C.C.H.[Carlos Cristiano Hasenclever], Neto, R.F.[Raul Fonseca],
A dual method for solving the nonlinear structured prediction problem,
PRL(75), No. 1, 2016, pp. 55-62.
Elsevier DOI 1604
Dual perceptron BibRef

Fortunati, S., Gini, F., Greco, M.S.,
The Constrained Misspecified Cramer-Rao Bound,
SPLetters(23), No. 5, May 2016, pp. 718-721.
IEEE DOI 1604
Covariance matrices BibRef

Kanna, S., Mandic, D.P.,
Steady-State Behavior of General Complex-Valued Diffusion LMS Strategies,
SPLetters(23), No. 5, May 2016, pp. 722-726.
IEEE DOI 1604
Adaptive systems BibRef

Badri, H., Yahia, H.,
A Non-Local Low-Rank Approach to Enforce Integrability,
IP(25), No. 8, August 2016, pp. 3562-3571.
IEEE DOI 1608
gradient methods BibRef

Zhang, H.Z.[Hong-Zhi], Li, F.[Feng], Deng, H.[Hong], Li, Z.M.[Zheng-Ming], Yan, K.[Ke], Xie, C.[Charlene], Wang, K.Q.[Kuan-Quan],
Adjusting samples for obtaining better L2-norm minimization based sparse representation,
JVCIR(39), No. 1, 2016, pp. 93-99.
Elsevier DOI 1608
L2-norm BibRef

Al-Shabili, A.[Abdullah], Weruaga, L.[Luis], Jimaa, S.[Shihab],
Optimal Sparsity Tradeoff in L_0-NLMS Algorithm,
SPLetters(23), No. 8, August 2016, pp. 1121-1125.
IEEE DOI 1608
normalized least mean squares. filtering theory BibRef

Fitschen, J.H.[Jan Henrik], Laus, F.[Friederike], Steidl, G.[Gabriele],
Transport Between RGB Images Motivated by Dynamic Optimal Transport,
JMIV(56), No. 3, November 2016, pp. 409-429.
Springer DOI 1609
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Fitschen, J.H.[Jan Henrik], Laus, F.[Friederike], Schmitzer, B.[Bernhard],
Optimal Transport for Manifold-Valued Images,
SSVM17(460-472).
Springer DOI 1706
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Bergmann, R.[Ronny], Persch, J.[Johannes], Steidl, G.[Gabriele],
A Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds,
SIIMS(9), No. 3, 2016, pp. 901-937.
DOI Link 1610
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Batista, P.[Pedro], Oliveira, P.[Paulo], Silvestre, C.[Carlos],
Uncertainty characterization of the orthogonal Procrustes problem with arbitrary covariance matrices,
PR(61), No. 1, 2017, pp. 210-220.
Elsevier DOI 1705
Weighted Procrustes statistics BibRef

Wang, P.[Peng], Shen, C.H.[Chun-Hua], van den Hengel, A.J.[Anton J.], Torr, P.H.S.,
Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications,
PAMI(39), No. 3, March 2017, pp. 470-485.
IEEE DOI 1702
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Earlier: A1, A2, A3, Only:
A Fast Semidefinite Approach to Solving Binary Quadratic Problems,
CVPR13(1312-1319)
IEEE DOI 1309
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Chin, T.J.[Tat-Jun], Purkait, P.[Pulak], Eriksson, A.P.[Anders P.], Suter, D.[David],
Efficient Globally Optimal Consensus Maximisation with Tree Search,
PAMI(39), No. 4, April 2017, pp. 758-772.
IEEE DOI 1703
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Earlier: CVPR15(2413-2421)
IEEE DOI 1510
Award, CVPR, HM. BibRef

Libessart, E., Arzel, M., Lahuec, C., Andriulli, F.,
A Scaling-Less Newton-Raphson Pipelined Implementation for a Fixed-Point Reciprocal Operator,
SPLetters(24), No. 6, June 2017, pp. 789-793.
IEEE DOI 1705
Approximation algorithms, Clocks, Computer architecture, Digital signal processing, Field programmable gate arrays, Newton method, Signal processing algorithms, FPGA, Fixed-point representation, Newton-Raphson, leading one detector, reciprocal BibRef

Shen, J.B.[Jian-Bing], Peng, J.T.[Jian-Teng], Dong, X.P.[Xing-Ping], Shao, L.[Ling], Porikli, F.M.[Fatih M.],
Higher Order Energies for Image Segmentation,
IP(26), No. 10, October 2017, pp. 4911-4922.
IEEE DOI 1708
Approximation algorithms, Image segmentation, Iterative methods, Minimization methods, Optimization, Transforms, Upper bound, Higher-order energy, image, segmentation BibRef

Shen, J.B.[Jian-Bing], Peng, J.T.[Jian-Teng], Shao, L.[Ling],
Submodular Trajectories for Better Motion Segmentation in Videos,
IP(27), No. 6, June 2018, pp. 2688-2700.
IEEE DOI 1804
image motion analysis, image segmentation, image texture, pattern clustering, better motion segmentation, color extraction, trajectory BibRef

Sun, T., Jiang, H., Cheng, L.,
Convergence of Proximal Iteratively Reweighted Nuclear Norm Algorithm for Image Processing,
IP(26), No. 12, December 2017, pp. 5632-5644.
IEEE DOI 1710
Convergence, Linear programming, Minimization, Iteratively reweighted nuclear norm algorithm, BibRef

Argyros, I.K., González, D.,
Local convergence of Cauchy-type methods under hypotheses on the first derivative,
IJCVR(7), No. 6, 2017, pp. 613-622.
DOI Link 1711
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Wang, Y.[Ying], Fan, M.[Miao], Li, J.[Jie], Cui, Z.B.[Zhao-Bin],
Sparse Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Oskarsson, M.[Magnus],
Two-View Orthographic Epipolar Geometry: Minimal and Optimal Solvers,
JMIV(60), No. 2, February 2018, pp. 163-173.
Springer DOI 1802
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Larsson, V., Åström, K., Oskarsson, M.,
Polynomial Solvers for Saturated Ideals,
ICCV17(2307-2316)
IEEE DOI 1802
BibRef
And:
Efficient Solvers for Minimal Problems by Syzygy-Based Reduction,
CVPR17(2383-2392)
IEEE DOI 1711
polynomial matrices, polynomial solvers, saturated ideals, Standards. Eigenvalues and eigenfunctions, Estimation, Generators, Geometry, Mathematical model, Robustness BibRef

Bayram, I.,
Sparsity Within and Across Overlapping Groups,
SPLetters(25), No. 2, February 2018, pp. 288-292.
IEEE DOI 1802
inverse problems, minimisation, signal processing, energy minimization formulation, linear inverse problem, structured sparsity BibRef

Yu, J.[Jian], Chaomurilige, C.[Chaomu], Yang, M.S.[Miin-Shen],
On convergence and parameter selection of the EM and DA-EM algorithms for Gaussian mixtures,
PR(77), 2018, pp. 188-203.
Elsevier DOI 1802
Expectation & maximization (EM) algorithm, Deterministic annealing EM (DA-EM), GAUSSIAN mixtures, Parameter selection BibRef

Ge, H., Wen, J., Chen, W.,
The Null Space Property of the Truncated L_1-2-Minimization,
SPLetters(25), No. 8, August 2018, pp. 1261-1265.
IEEE DOI 1808
compressed sensing, matrix algebra, minimisation, probability, sparse signals, compressible signals, truncated l1-2minimization, truncated L _1-2-minimization BibRef

Lauer, F.[Fabien],
On the exact minimization of saturated loss functions for robust regression and subspace estimation,
PRL(112), 2018, pp. 317-323.
Elsevier DOI 1809
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Yang, H.G.[Hui-Guang], Ahuja, N.[Narendra],
Clustering as physically inspired energy minimization,
PR(86), 2019, pp. 265-280.
Elsevier DOI 1811
Unsupervised/hierarchical clustering, Energy minimization, Statistical physics, Integer programming, Unary/data energy, Normalized-cut BibRef

Zhao, R.[Rui], Shi, Z.W.[Zhen-Wei], Zou, Z.X.[Zheng-Xia], Zhang, Z.[Zhou],
Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
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Savchynskyy, B.[Bogdan],
Discrete Graphical Models: An Optimization Perspective,
FTCGV(11), No. 3-4, 2019, pp. 160-429.
DOI Link 1912
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Khorasani, S.M.[Sara Monem], Hodtani, G.A.[Ghosheh Abed], Kakhki, M.M.[Mohammad Molavi],
Decreasing Cramer-Rao lower bound by preprocessing steps,
SIViP(14), No. 4, June 2020, pp. 781-789.
Springer DOI 2005
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Kuo, Y.C.[Yueh-Cheng], Lin, W.W.[Wen-Wei], Yueh, M.H.[Mei-Heng], Yau, S.T.[Shing-Tung],
Convergent Conformal Energy Minimization for the Computation of Disk Parameterizations,
SIIMS(14), No. 4, 2021, pp. 1790-1815.
DOI Link 2112
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Zhang, H.B.[Hong-Bing], Fan, H.T.[Hong-Tao], Li, Y.J.[Ya-Jing], Liu, X.Y.[Xin-Yi], Liu, C.[Chang], Zhu, X.Y.[Xin-Yun],
Tensor Recovery Based on a Novel Non-Convex Function Minimax Logarithmic Concave Penalty Function,
IP(32), 2023, pp. 3413-3428.
IEEE DOI 2307
Tensors, Minimization, Principal component analysis, Upper bound, Magnetic resonance imaging, Fans, Relaxation methods, tensor robust principal component analysis (TRPCA) BibRef

Zhang, H.B.[Hong-Bing], Fan, H.T.[Hong-Tao], Li, Y.J.[Ya-Jing],
Tensor recovery based on Bivariate Equivalent Minimax-Concave Penalty,
PR(149), 2024, pp. 110253.
Elsevier DOI 2403
Tensor recovery, Bivariate equivalent minimax-concave penalty (BEMCP), Tensor robust principal component analysis (TRPCA) BibRef

Yueh, M.H.[Mei-Heng],
Theoretical Foundation of the Stretch Energy Minimization for Area-Preserving Simplicial Mappings,
SIIMS(16), No. 3, 2023, pp. 1142-1176.
DOI Link 2309
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Nie, F.P.[Fei-Ping], Lu, J.[Jitao], Wu, D.Y.[Dan-Yang], Wang, R.[Rong], Li, X.L.[Xue-Long],
A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization,
PAMI(46), No. 1, January 2024, pp. 659-666.
IEEE DOI 2312
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Lambert, Z.[Zoé], Le Guyader, C.[Carole], Petitjean, C.[Caroline],
Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation,
IPTA20(1-6)
IEEE DOI 2206
Image segmentation, Analytical models, Fluids, Image edge detection, Tools, Minimization, Context modeling, classification BibRef

Cui, S., Wang, S., Zhuo, J., Li, L., Huang, Q., Tian, Q.,
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations,
CVPR20(3940-3949)
IEEE DOI 2008
Entropy, Minimization, Task analysis, Diversity methods, Predictive models, Training, Uncertainty BibRef

Akhter, I., Cheong, L.F., Hartley, R.,
Fast Postprocessing for Difficult Discrete Energy Minimization Problems,
WACV20(3462-3471)
IEEE DOI 2006
Minimization, Iterative algorithms, Approximation algorithms, Labeling, Switches, Inference algorithms BibRef

Geiping, J., Moeller, M.,
Parametric Majorization for Data-Driven Energy Minimization Methods,
ICCV19(10261-10272)
IEEE DOI 2004
learning (artificial intelligence), minimisation, neural nets, variational techniques, Machine learning BibRef

Kolmogorov, V.[Vladimir],
Solving Relaxations of MAP-MRF Problems: Combinatorial in-Face Frank-Wolfe Directions,
CVPR23(11980-11989)
IEEE DOI 2309
BibRef

Swoboda, P.[Paul], Kolmogorov, V.[Vladimir],
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm,
CVPR19(11138-11147).
IEEE DOI 2002
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Roy, P.C.[Proteek Chandan], Boddeti, V.N.[Vishnu Naresh],
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach,
CVPR19(2581-2589).
IEEE DOI 2002
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Zhao, X., Zhang, Y., Luo, B.,
Energy Minimization Based Alternate Sampling and Clustering for Geometric Model Fitting,
ICIP19(1570-1574)
IEEE DOI 1910
multi-model fitting, localized window sampling, energy minimization, alternate sampling and clustering BibRef

Ikami, D.[Daiki], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems,
CVPR18(8147-8155)
IEEE DOI 1812
Estimation, Eigenvalues and eigenfunctions, Optimization, Minimization, Linear programming, Robustness, Feature extraction BibRef

Larsson, V.[Viktor], Oskarsson, M.[Magnus], Astrom, K.[Kalle], Wallis, A.[Alge], Pajdla, T.[Tomas], Kukelova, Z.[Zuzana],
Beyond Grobner Bases: Basis Selection for Minimal Solvers,
CVPR18(3945-3954)
IEEE DOI 1812
Fans, Generators, Standards, Sensors, Estimation, Mathematical model BibRef

Barath, D.[Daniel], Matas, J.G.[Jiri G.],
Multi-class Model Fitting by Energy Minimization and Mode-Seeking,
ECCV18(XVI: 229-245).
Springer DOI 1810
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Pritts, J.[James], Rozumnyi, D.[Denys], Kumar, M.P.[M. Pawan], Chum, O.[Ondrej],
Coplanar Repeats by Energy Minimization,
BMVC16(xx-yy).
HTML Version. 1805
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Iyer, G.[Geoffrey], Chanussot, J.[Jocelyn], Bertozzi, A.L.[Andrea L.],
A graph-based approach for feature extraction and segmentation of multimodal images,
ICIP17(3320-3324)
IEEE DOI 1803
Adaptive optics, Feature extraction, Image segmentation, Laplace equations, Laser radar, Optical imaging, multimodal image BibRef

Baqué, P.[Pierre], Fleuret, F.[François], Fua, P.[Pascal],
Multi-modal Mean-Fields via Cardinality-Based Clamping,
CVPR17(4303-4312)
IEEE DOI 1711
Clamps, Graphical models, Minimization, Probability distribution, Standards, Temperature distribution CRF. Mean Fields. BibRef

Ajanthan, T., Desmaison, A., Bunel, R., Salzmann, M., Torr, P.H.S., Kumar, M.P.,
Efficient Linear Programming for Dense CRFs,
CVPR17(2934-2942)
IEEE DOI 1711
Labeling, Linear programming, Minimization, Random variables, Semantics, Standards, Time, complexity BibRef

Kukelova, Z., Kileel, J., Sturmfels, B., Pajdla, T.,
A Clever Elimination Strategy for Efficient Minimal Solvers,
CVPR17(3605-3614)
IEEE DOI 1711
Cameras, Generators, Geometry, Mathematical model, Standards, Systematics BibRef

Kiani, K.A., Drummond, T.,
Solving Robust Regularization Problems Using Iteratively Re-weighted Least Squares,
WACV17(483-492)
IEEE DOI 1609
Convergence, Cost function, Image resolution, Linear programming, Minimization, Robustness BibRef

Bulatov, D.[Dimitri], Kottler, B.[Benedikt], Rottensteiner, F.[Franz],
Energy minimization of discrete functions with higher-order potentials for depth map generation,
ICPR16(2344-2349)
IEEE DOI 1705
Cameras, Data mining, Image reconstruction, Minimization, Optimization, Semantics, Three-dimensional, displays BibRef

Bronstein, A.M.[Alex M.], Choukroun, Y.[Yoni], Kimmel, R.[Ron], Sela, M.[Matan],
Consistent Discretization and Minimization of the L1 Norm on Manifolds,
3DV16(435-440)
IEEE DOI 1701
Eigenvalues and eigenfunctions BibRef

Valentin, J.[Julien], Dai, A.[Angela], Niessner, M.[Matthias], Kohli, P.[Pushmeet], Torr, P.H.S.[Phillip H.S.], Izadi, S.[Shahram], Keskin, C.[Cem],
Learning to Navigate the Energy Landscape,
3DV16(323-332)
IEEE DOI 1701
Analysis by Synthesis. computer vision BibRef

Bourmaud, G.[Guillaume],
Online Variational Bayesian Motion Averaging,
ECCV16(VIII: 126-142).
Springer DOI 1611
Apply to SLAM and mosaicking. BibRef

Li, M.T.[Meng-Tian], Huber, D.[Daniel],
Guaranteed Parameter Estimation for Discrete Energy Minimization,
WACV17(473-482)
IEEE DOI 1609
Approximation algorithms, Feature extraction, Inference algorithms, Minimization, Testing, Training BibRef

Li, M.T.[Meng-Tian], Shekhovtsov, A.[Alexander], Huber, D.[Daniel],
Complexity of Discrete Energy Minimization Problems,
ECCV16(II: 834-852).
Springer DOI 1611
BibRef

Henderson, P.[Paul], Ferrari, V.[Vittorio],
End-to-End Training of Object Class Detectors for Mean Average Precision,
ACCV16(V: 198-213).
Springer DOI 1704
BibRef

Henderson, P.[Paul], Ferrari, V.[Vittorio],
Automatically Selecting Inference Algorithms for Discrete Energy Minimisation,
ECCV16(V: 235-252).
Springer DOI 1611
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Bustacara-Medina, C.[César], Flórez-Valencia, L.[Leonardo],
Comparison and Evaluation of First Derivatives Estimation,
ICCVG16(121-133).
Springer DOI 1611
BibRef

Yang, L.N.[Li-Na], Li, T.S.[Tao-Shen], Tang, Y.Y.[Yuan Yan], Xu, J.[Jia], Pan, J.J.[Jian-Jia], Luo, H.W.[Hui-Wu], Zheng, X.W.[Xian-Wei],
Direct method-Green's Theory: From PDE to BIE in the geometric transformation,
ICWAPR16(157-161)
IEEE DOI 1611
Boundary conditions BibRef

Hou, J.H.[Jun-Hui], Chau, L.P.[Lap-Pui], He, Y.[Ying], Zeng, H.Q.[Huan-Qiang],
Robust laplacian matrix learning for smooth graph signals,
ICIP16(1878-1882)
IEEE DOI 1610
Analytical models BibRef

Chakraborty, R.[Rudrasis], Vemuri, B.C.[Baba C.],
Recursive Frichet Mean Computation on the Grassmannian and Its Applications to Computer Vision,
ICCV15(4229-4237)
IEEE DOI 1602
Computer vision BibRef

Zhang, J.[Jian], Djolonga, J.[Josip], Krause, A.[Andreas],
Higher-Order Inference for Multi-class Log-Supermodular Models,
ICCV15(1859-1867)
IEEE DOI 1602
Computational modeling BibRef

Kirillov, A.[Alexander], Savchynskyy, B.[Bogdan], Schlesinger, D.[Dmitrij], Vetrov, D.[Dmitry], Rother, C.[Carsten],
Inferring M-Best Diverse Labelings in a Single One,
ICCV15(1814-1822)
IEEE DOI 1602
Computational modeling BibRef

Dokania, P.K.[Puneet K.], Pawan Kumar, M.,
Parsimonious Labeling,
ICCV15(1760-1768)
IEEE DOI 1602
Algorithm design and analysis BibRef

Mourya, R.[Rahul], Denis, L.[Loic], Becker, J.M.[Jean-Marie], Thiebaut, E.[Eric],
Augmented Lagrangian without alternating directions: Practical algorithms for inverse problems in imaging,
ICIP15(1205-1209)
IEEE DOI 1512
ADMM BibRef

Baroni, M.D.V.[Marcos Daniel Valadão], Varejão, F.M.[Flávio Miguel],
A Shuffled Complex Evolution Algorithm For the Multidimensional Knapsack Problem,
CIARP15(768-775).
Springer DOI 1511
BibRef

Guarnizo, C.[Cristian], Álvarez, M.A.[Mauricio A.], Orozco, A.A.[Alvaro A.],
Indian Buffet Process for Model Selection in Latent Force Models,
CIARP15(635-642).
Springer DOI 1511
BibRef

Taniai, T.[Tatsunori], Matsushita, Y.[Yasuyuki], Naemura, T.[Takeshi],
Superdifferential cuts for binary energies,
CVPR15(2030-2038)
IEEE DOI 1510
BibRef

Lampert, C.H.[Christoph H.],
Predicting the future behavior of a time-varying probability distribution,
CVPR15(942-950)
IEEE DOI 1510
Extrapolation of data. BibRef

Trajkovska, V.[Vera], Swoboda, P.[Paul], Åström, F.[Freddie], Petra, S.[Stefania],
Graphical Model Parameter Learning by Inverse Linear Programming,
SSVM17(323-334).
Springer DOI 1706
BibRef

Prusa, D.[Daniel],
Graph-based simplex method for pairwise energy minimization with binary variables,
CVPR15(475-483)
IEEE DOI 1510
BibRef

Mobahi, H.[Hossein], Fisher, III, J.W.[John W.],
On the Link between Gaussian Homotopy Continuation and Convex Envelopes,
EMMCVPR15(43-56).
Springer DOI 1504
BibRef

Mobahi, H.[Hossein], Fisher, III, J.W.[John W.],
Coarse-to-Fine Minimization of Some Common Nonconvexities,
EMMCVPR15(71-84).
Springer DOI 1504
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Mutimbu, L.D.[Lawrence D.], Robles-Kelly, A.[Antonio],
Factor Graphs for Image Processing,
ICPR14(1443-1448)
IEEE DOI 1412
Computer vision BibRef

Blomer, J.[Johannes], Bujna, K.[Kathrin], Kuntze, D.[Daniel],
A Theoretical and Experimental Comparison of the EM and SEM Algorithm,
ICPR14(1419-1424)
IEEE DOI 1412
Algorithm design and analysis BibRef

Cao, W.B.[Wen-Bo], Haralick, R.M.[Robert M.],
Quadratic Discriminant Revisited,
ICPR14(1283-1288)
IEEE DOI 1412
Algorithm design and analysis BibRef

Aggarwal, H.K.[Hemant Kumar], Majumdar, A.[Angshul],
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors,
ICPR14(1014-1019)
IEEE DOI 1412
Equations solving. BibRef

Miksik, O.[Ondrej], Vineet, V.[Vibhav], Perez, P.[Patrick], Torr, P.H.S.[Phillip H.S.],
Distributed Non-convex ADMM-based inference in large-scale random fields,
BMVC14(xx-yy).
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Giovannelli, L.[Luca], Ródenas, J.J.[Juan J.], Navarro-Jimenez, J.M.[José M.], Tur, M.[Manuel],
Element Stiffness Matrix Integration in Image-Based Cartesian Grid Finite Element Method,
CompIMAGE14(304-315).
Springer DOI 1407
BibRef

Marco, O.[Onofre], Sevilla, R.[Rubén], Ródenas, J.J.[Juan José], Tur, M.[Manuel],
Numerical Simulation from Medical Images: Accurate Integration by Means of the Cartesian Grid Finite Element Method,
CompIMAGE14(255-260).
Springer DOI 1407
BibRef

Tichmann, K.[Karin], Junge, O.[Oliver],
A fully implicit alternating direction method of multipliers for the minimization of convex problems with an application to motion segmentation,
WACV14(823-830)
IEEE DOI 1406
Computer vision BibRef

Barki, H.[Hichem], Cane, J.M.[Jean-Marc], Michelucci, D.[Dominique], Foufou, S.[Sebti],
New Geometric Constraint Solving Formulation: Application to the 3D Pentahedron,
ICISP14(594-601).
Springer DOI 1406
BibRef

Köstler, H.[Harald], Feichtinger, C.[Christian], Rüde, U.[Ulrich], Aoki, T.[Takayuki],
A Geometric Multigrid Solver on Tsubame 2.0,
Optimization11(155-173).
Springer DOI 1405
BibRef

Jain, S.[Suraj], Govindu, V.M.[Venu Madhav],
Efficient Higher-Order Clustering on the Grassmann Manifold,
ICCV13(3511-3518)
IEEE DOI 1403
grassmann manifold BibRef

Fix, A.[Alexander], Joachims, T.[Thorsten], Park, S.M.[Sung Min], Zabih, R.[Ramin],
Structured Learning of Sum-of-Submodular Higher Order Energy Functions,
ICCV13(3104-3111)
IEEE DOI 1403
Graph cuts; Max flow; Structured prediction BibRef

Gridchyn, I.[Igor], Kolmogorov, V.[Vladimir],
Potts Model, Parametric Maxflow and K-Submodular Functions,
ICCV13(2320-2327)
IEEE DOI 1403
BibRef

Lesueur, V.[Vincent], Nozick, V.[Vincent],
Least Square for Grassmann-Cayley Agelbra in Homogeneous Coordinates,
PSIVTWS13(133-144).
Springer DOI 1402
BibRef

Salzmann, M.[Mathieu],
Continuous Inference in Graphical Models with Polynomial Energies,
CVPR13(1744-1751)
IEEE DOI 1309
BibRef

Guillaumin, M.[Matthieu], Van Gool, L.J.[Luc J.], Ferrari, V.[Vittorio],
Fast Energy Minimization Using Learned State Filters,
CVPR13(1682-1689)
IEEE DOI 1309
BibRef

Albu, F.[Felix],
Improved variable forgetting factor recursive least square algorithm,
ICARCV12(1789-1793).
IEEE DOI 1304
BibRef

Raket, L.L.[Lars Lau], Nielsen, M.[Mads],
A splitting algorithm for directional regularization and sparsification,
ICPR12(3094-3098).
WWW Link. 1302
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Ask, E.[Erik], Kuang, Y.B.[Yu-Bin], Astrom, K.[Kalle],
Exploiting p-fold symmetries for faster polynomial equation solving,
ICPR12(3232-3235).
WWW Link. 1302
BibRef

Xuan, G.R.[Guo-Rong], Shi, Y.Q.[Yun Q.], Chai, P.Q.[Pei-Qi], Sutthiwan, P.[Patchara],
An Enhanced EM algorithm using maximum entropy distribution as initial condition,
ICPR12(849-852).
WWW Link. 1302
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Ryan, A.[Andrew], Mora, B.[Benjamin], Chen, M.[Min],
On the implementation and analysis of Expectation Maximization algorithms with stopping criterion,
ICIP12(2393-2396).
IEEE DOI 1302
BibRef

Woodford, O.J.[Oliver J.], Pham, M.T.[Minh-Tri], Maki, A.[Atsuto], Gherardi, R.[Riccardo], Perbet, F.[Frank], Stenger, B.[Björn],
Contraction Moves for Geometric Model Fitting,
ECCV12(VII: 181-194).
Springer DOI 1210
generalizes alpha-expansion graph cuts for multi-label energy minimization problems BibRef

Delong, A.[Andrew], Veksler, O.[Olga], Boykov, Y.Y.[Yuri Y.],
Fast Fusion Moves for Multi-Model Estimation,
ECCV12(I: 370-384).
Springer DOI 1210
BibRef

Heber, S.[Stefan], Ranftl, R.[Rene], Pock, T.[Thomas],
Approximate Envelope Minimization for Curvature Regularity,
Global12(III: 283-292).
Springer DOI 1210
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Fredriksson, J.[Johan], Olsson, C.[Carl], Strandmark, P.[Petter], Kahl, F.[Fredrik],
Tighter Relaxations for Higher-Order Models Based on Generalized Roof Duality,
Global12(III: 273-282).
Springer DOI 1210
BibRef

Sheta, B., Elhabiby, M., Sheimy, N.,
Comparison And Analysis Of Nonlinear Least Squares Methods For Vision Based Navigation (VBN) Algorithms,
ISPRS12(XXXIX-B1:453-456).
DOI Link 1209
BibRef

Kappes, J.H.[Jorg Hendrik], Savchynskyy, B.[Bogdan], Schnorr, C.[Christoph],
A bundle approach to efficient MAP-inference by Lagrangian relaxation,
CVPR12(1688-1695).
IEEE DOI 1208
BibRef

Brand, M.[Matthew], Chen, D.H.[Dong-Hui],
Parallel quadratic programming for image processing,
ICIP11(2261-2264).
IEEE DOI 1201
Solving quadratics, deblurring, matrix factorization, tomography. BibRef

Werlberger, M.[Manuel], Unger, M.[Markus], Pock, T.[Thomas], Bischof, H.[Horst],
Efficient Minimization of the Non-local Potts Model,
SSVM11(314-325).
Springer DOI 1201
BibRef

Tan, H.C.[Hua-Chun], Cheng, B.[Bin], Feng, J.S.[Jian-Shuai], Feng, G.D.[Guang-Dong], Zhang, Y.J.[Yu-Jin],
Tensor Recovery via Multi-linear Augmented Lagrange Multiplier Method,
ICIG11(141-146).
IEEE DOI 1109
BibRef

Zhao, Q.P.[Qin-Pei], Hautamaki, V.[Ville], Franti, P.[Pasi],
RSEM: An Accelerated Algorithm on Repeated EM,
ICIG11(135-140).
IEEE DOI 1109
Expectation maximization, gradient ascent multiple times from different initial points. BibRef

Charpiat, G.[Guillaume],
Exhaustive family of energies minimizable exactly by a graph cut,
CVPR11(1849-1856).
IEEE DOI 1106
BibRef

Batra, D.[Dhruv], Kohli, P.[Pushmeet],
Making the right moves: Guiding alpha-expansion using local primal-dual gaps,
CVPR11(1865-1872).
IEEE DOI 1106
Adaptive graph-cut based move-making algorithm for energy minimization. BibRef

Kim, T.[Taesup], Nowozin, S.[Sebastian], Kohli, P.[Pushmeet], Yoo, C.D.[Chang D.],
Variable grouping for energy minimization,
CVPR11(1913-1920).
IEEE DOI 1106
BibRef

He, R.[Ran], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu], Zheng, W.S.[Wei-Shi],
Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization,
CVPR11(2889-2896).
IEEE DOI 1106
BibRef

Schlesinger, M.[Michail], Vodolazskiy, E.[Evgeniy], Lopatka, N.[Nikolai],
Stop Condition for Subgradient Minimization in Dual Relaxed (max,+) Problem,
EMMCVPR11(118-131).
Springer DOI 1107
BibRef

Jezierska, A.[Anna], Talbot, H.[Hugues], Veksler, O.[Olga], Wesierski, D.[Daniel],
A Fast Solver for Truncated-Convex Priors: Quantized-Convex Split Moves,
EMMCVPR11(45-58).
Springer DOI 1107
BibRef

Samieinia, S.[Shiva],
The Number of Khalimsky-Continuous Functions between Two Points,
IWCIA11(96-106).
Springer DOI 1105
The number of Khalimsky-continuous functions with two points in their codomain is an example of the Fibonacci sequence. BibRef

de Campos, C.P.[Cassio P.], Zeng, Z.[Zhi], Ji, Q.A.[Qi-Ang],
An Improved Structural EM to Learn Dynamic Bayesian Nets,
ICPR10(601-604).
IEEE DOI 1008
BibRef

Gass, T.[Tobias], Dreuw, P.[Phillippe], Ney, H.[Hermann],
Constrained Energy Minimization for Matching-Based Image Recognition,
ICPR10(3304-3307).
IEEE DOI 1008
BibRef

Rangarajan, P.[Prasanna], Kanatani, K.[Kenichi], Niitsuma, H.[Hirotaka], Sugaya, Y.[Yasuyuki],
Hyper Least Squares and Its Applications,
ICPR10(5-8).
IEEE DOI 1008
BibRef

Arora, C.[Chetan], Banerjee, S.[Subhashis], Kalra, P.[Prem], Maheshwari, S.N.,
Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP,
ECCV12(V: 17-30).
Springer DOI 1210
BibRef
Earlier:
An Efficient Graph Cut Algorithm for Computer Vision Problems,
ECCV10(III: 552-565).
Springer DOI 1009
BibRef

Leichter, I.[Ido],
The Swap and Expansion moves revisited and fused,
ICCV09(2264-2271).
IEEE DOI 0909
Minimization of energy functions. BibRef

Carr, P.[Peter], Hartley, R.I.[Richard I.],
Minimizing energy functions on 4-connected lattices using elimination,
ICCV09(2042-2049).
IEEE DOI 0909
BibRef

Olsson, C.[Carl], Byrod, M.[Martin], Overgaard, N.C.[Niels C.], Kahl, F.[Fredrik],
Extending continuous cuts: Anisotropic metrics and expansion moves,
ICCV09(405-412).
IEEE DOI 0909
Graph cuts for globally or near globally optimal solutions computed using max flow algorithms. Continuous version. BibRef

Hassan, F.[Firas], Vytla, L.[Lavanya], Carletta, J.E.[Joan E.],
Exploiting redundancy to solve the Poisson equation using local information,
ICIP09(2689-2692).
IEEE DOI 0911
BibRef

Darbon, J.[Jerome], Ciril, I.[Igor], Marquina, A.[Antonio], Chan, T.F.[Tony F.], Osher, S.J.[Stanley J.],
A note on the Bregmanized Total Variation and dual forms,
ICIP09(2965-2968).
IEEE DOI 0911
BibRef

Adam, M., Sanida, F., Assimakis, N., Voliotis, S.,
Riccati Equation Solution Method for the Computation of the Extreme Solutions of X+A*X-1A=Q and X-A*X-1A=Q,
WSSIP09(1-4).
IEEE DOI 0906
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Liao, F.[Fei],
High Accurate theta-Scheme for Solving BSDEs,
CISP09(1-5).
IEEE DOI 0910
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An, Z.J.[Zhi-Juan], Zhang, M.[Min], Su, H.T.[Hong-Tao],
Novel Fast Subspace Decomposition Using Lanczos Recursion,
CISP09(1-4).
IEEE DOI 0910
BibRef

Xing, G.X.[Gao-Xiang], Cai, Z.M.[Zhi-Ming],
A Sidelobe-Constraint Direct Data Domain Least Square Algorithm,
CISP09(1-4).
IEEE DOI 0910
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Wang, W.X.[Wei-Xiang], Shang, Y.L.[You-Lin],
A Novel Transforming Function for Nonlinear Equations,
CISP09(1-4).
IEEE DOI 0910
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Duan, C.Y.[Cong-Ying],
A New Analysis on PVL Model Reduction Using Solutions of Linear Systems by the Lanczos Method,
CISP09(1-5).
IEEE DOI 0910
BibRef

Liu, X.H.[Xiao-Hua], Deng, H.X.[Hong-Xia],
A Modified Method of State-Estimator Designing for Non-Uniformly Sampled System,
CISP09(1-5).
IEEE DOI 0910
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Schlesinger, D.[Dmitrij],
General Search Algorithms for Energy Minimization Problems,
EMMCVPR09(84-97).
Springer DOI 0908
BibRef

Xu, L.L.[Lin-Li], Li, W.[Wenye], Schuurmans, D.[Dale],
Fast normalized cut with linear constraints,
CVPR09(2866-2873).
IEEE DOI 0906
Optimal normalized cut has proven to be NP-hard. Linear constraints to incorporate prior information. BibRef

Reddy, D.[Dikpal], Agrawal, A.[Amit], Chellappa, R.[Rama],
Enforcing integrability by error correction using L1-minimization,
CVPR09(2350-2357).
IEEE DOI 0906
BibRef

Li, H.D.[Hong-Dong],
Efficient reduction of L-infinity geometry problems,
CVPR09(2695-2702).
IEEE DOI 0906
BibRef

Gould, S.[Stephen], Amat, F.[Fernando], Koller, D.[Daphne],
Alphabet SOUP: A framework for approximate energy minimization,
CVPR09(903-910).
IEEE DOI 0906
BibRef

Rother, C.[Carsten], Kohli, P.[Pushmeet], Feng, W.[Wei], Jia, J.Y.[Jia-Ya],
Minimizing sparse higher order energy functions of discrete variables,
CVPR09(1382-1389).
IEEE DOI 0906
BibRef

Cetingul, H.E.[Hasan Ertan], Vidal, R.[Rene],
Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds,
CVPR09(1896-1902).
IEEE DOI 0906
An alternative formulation. BibRef

Wang, J.F.[Jun-Feng], Luo, J.W.[Jun-Wei],
Performance analysis of an improved variable tap-length LMS algorithm,
IASP09(377-380).
IEEE DOI 0904
least mean square BibRef

Zhang, J.[Jie], Liu, Z.H.[Zhen-Hua], Wen, Q.Y.[Qiao-Yan],
Constructions of resilient functions over finite fields,
IASP09(317-319).
IEEE DOI 0904
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Li, Y.Y.[Yan-Yan], Wang, W.H.[Wei-Hong], Gu, G.M.[Guo-Min],
The simulation of parametric fountain based on Direct3D,
IASP09(237-240).
IEEE DOI 0904
BibRef

Yao, Q.G.[Qi-Guo], Liu, G.P.[Guo-Ping],
Simulation and analysis of Lorenz system's dynamics characteristics,
IASP09(427-429).
IEEE DOI 0904
BibRef

Su, Q.F.[Qi-Fang],
Perturbation analysis for linear systems,
IASP09(430-433).
IEEE DOI 0904
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Bicego, M., Gonzalez-Jimenez, D., Grosso, E., Alba Castro, J.L.,
Generalized Gaussian distributions for sequential data classification,
ICPR08(1-4).
IEEE DOI 0812
Vs. HMM modeling techniques. BibRef

Felsberg, M.[Michael],
On second order operators and quadratic operators,
ICPR08(1-4).
IEEE DOI 0812
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Ren, H.J.[Hai-Jun], Wu, L.[Liang], Neskovic, P.[Predrag], Cooper, L.[Leon],
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process,
ICPR08(1-4).
IEEE DOI 0812
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Ko, A.H.R.[Albert Hung-Ren], Sabourin, R.[Robert], de Souza Britto, A.[Alceu],
A new HMM training and testing scheme,
ICPR08(1-4).
IEEE DOI 0812
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Missaoui, O.[Oualid], Frigui, H.[Hichem],
Optimal feature weighting for the discrete HMM,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And:
Optimal feature weighting for the continuous HMM,
ICPR08(1-4).
IEEE DOI 0812
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Heo, G.Y.[Gyeong-Yong], Gader, P.[Paul],
Prior-updating ensemble learning for discrete HMM,
ICPR08(1-4).
IEEE DOI 0812
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Rakotondralambo, J., Michaille, G., Brouzet, R., Puech, W.,
Variational approximation of a constraint signal by a Mumford-Shah type energy functional,
IPTA08(1-5).
IEEE DOI 0811
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Müller, T.[Thomas], Lenz, C.[Claus], Barner, S.[Simon], Knoll, A.[Alois],
Accelerating Integral Histograms Using an Adaptive Approach,
ICISP08(209-217).
Springer DOI 0807
BibRef

Reznik, Y.A.[Yuriy A.], Hinds, A.T.[Arianne T.], Mitchell, J.L.[Joan L.],
Improved precision of fixed-point algorithms by means of common factors,
ICIP08(2344-2347).
IEEE DOI 0810
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Grady, L.[Leo],
A Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis,
ECCV08(II: 252-264).
Springer DOI 0810
BibRef

Bujnak, M.[Martin], Kukelova, Z.[Zuzana], Pajdla, T.[Tomas],
Making minimal solvers fast,
CVPR12(1506-1513).
IEEE DOI 1208
BibRef
Earlier: A2, A1, A3:
Automatic Generator of Minimal Problem Solvers,
ECCV08(III: 302-315).
Springer DOI 0810
BibRef

Pock, T.[Thomas], Schoenemann, T.[Thomas], Graber, G.[Gottfried], Bischof, H.[Horst], Cremers, D.[Daniel],
A Convex Formulation of Continuous Multi-label Problems,
ECCV08(III: 792-805).
Springer DOI 0810
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Trobin, W.[Werner], Pock, T.[Thomas], Cremers, D.[Daniel], Bischof, H.[Horst],
Continuous Energy Minimization Via Repeated Binary Fusion,
ECCV08(IV: 677-690).
Springer DOI 0810
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Schlesinger, D.[Dmitrij],
Exact Solution of Permuted Submodular MinSum Problems,
EMMCVPR07(28-38).
Springer DOI 0708
Energy Minimization Task. BibRef

Franc, V.[Vojtech], Hlavác, V.[Václav],
Simple Solvers for Large Quadratic Programming Tasks,
DAGM05(75).
Springer DOI 0509
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Toh, K.A.[Kar-Ann],
Global Energy Minimization: A Transformation Approach,
EMMCVPR01(391-406).
Springer DOI 0205
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Trytten, D.A., and Tuceryan, M.,
Segmentation and Grouping of Object Boundaries Using Energy Minimization,
CVPR91(730-731).
IEEE DOI BibRef 9100

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Optimizations, Computational Issues .