7.3.7.2 Similarity Measure, Distance Transforms and Functions for Objects and Shapes

Shimrat, M.,
Algorithm 112: Position of point relative to polygon,
CACM(5), No. 8, August 1962, pp. 434.
WWW Link. BibRef 6208

Hacker, R.[Richard],
Certification of Algorithm 112: Position of point relative to polygon,
CACM(5), No. 12, December 1962, pp. 606. BibRef 6212

Björck, Å., Golub, G.H.,
Numerical Methods for Computing Angles between Linear Subspaces,
MathComp(27), No. 123, 1973, pp. 579-594. BibRef 7300

Toriwaki, J., Kato, N., Fukumura, T.,
Parallel Local Operations for a New Distance Transformation of a Line Pattern and Their Applications,
SMC(9), October 1979, pp. 628-643. BibRef 7910
Earlier: ICPR78(649-653). BibRef

Moore, R.K.,
A Dynamic Programming Algorithm for the Distance between Two Finite Areas,
PAMI(1), No. 1, 1979, pp. 86-88. BibRef 7900

Yokokawa, K.[Kanji], Kunii, T.L.[Tosiyasu L.],
A Definition of Neighborhood of a Region for Picture Processing,
CGIP(14), No. 2, October 1980, pp. 112-144.
Elsevier DOI BibRef 8010

o O'Rourke, J.[Joseph],
Computing the Relative Neighborhood Graph in the L1 and L-inf Metrics,
PR(15), No. 3, 1982, pp. 189-192.
Elsevier DOI 0309
points connect relatively close neighbors. BibRef

Wahl, F.M.[Friedrich M.],
A New Distance Mapping and Its Use for Shape Measurement on Binary Patterns,
CVGIP(23), No. 2, August 1983, pp. 218-226.
Elsevier DOI Based on border to border distance. BibRef 8308

Atallah, M.J.,
A Linear Time Algorithm for the Hausdorff Distance Between Convex Polygons,
IPL(16), 1983, pp. 207-209. Hausdorff Distance. BibRef 8300

Toussaint, G.T., McAlear, J.A.,
A Simple O(n log n) Algorithm for Finding the Maximum Distance between Two Finite Planar Sets,
PRL(1), 1982, pp. 21-24. BibRef 8200

Toussaint, G.T., Bhattacharya, B.K.,
Optimal Algorithms for Computing the Minimum Distance between Two Finite Planar Sets,
PRL(2), 1983, pp. 79-82. BibRef 8300

Atallah, M.J.[Mikhail J.], Ribeiro, C.C.[Celso C.], Lifschitz, S.[Sergio],
Computing Some Distance Functions Between Polygons,
PR(24), No. 8, 1991, pp. 775-781.
Elsevier DOI possibly intersecting polygons. BibRef 9100

Jaromczyk, J.W., Toussaint, G.T.,
Relative Neighborhood Graphs and Their Relatives,
PIEEE(80), 1992, pp. 1502-1517. BibRef 9200

Saito, T.[Toyofumi], Toriwaki, J.I.[Jun-Ichiro],
New algorithms for euclidean distance transformation of an n-dimensional digitized picture with applications,
PR(27), No. 11, November 1994, pp. 1551-1565.
Elsevier DOI 0401
And voronoi diagram. BibRef

Younes, L.[Laurent],
Computable elastic distances between shapes,
SIAM_JAM(58), 1998, 565-586.
DOI Link BibRef 9800

Younes, L.[Laurent],
Spaces and manifolds of shapes in computer vision: An overview,
IVC(30), No. 6-7, June 2012, pp. 389-397.
Elsevier DOI 1206
Shape spaces; Shape manifolds; Shape metrics BibRef

Winter, S.[Stephan],
Location similarity of regions,
PandRS(55), No. 3, September 2000, pp. 189-200. 0010
BibRef

Molenaar, M.[Martien], Cheng, T.[Tao],
Fuzzy spatial objects and their dynamics,
PandRS(55), No. 3, September 2000, pp. 164-175. 0010

Elsevier DOI Award, ISPRS. BibRef

Cheng, T.[Tao], Molenaar, M.[Martien],
Diachronic Analysis of Fuzzy Objects,
GeoInfo(3), No. 4, December 1999, pp. 337-355.
DOI Link 0509
BibRef

Coquin, D.[Didier], Bolon, P.[Philippe],
Application of Baddeley's distance to dissimilarity measurement between gray scale images,
PRL(22), No. 14, December 2001, pp. 1483-1502.
Elsevier DOI 0110
BibRef

Cha, S.H.[Sung-Hyuk], Srihari, S.N.[Sargur N.],
On measuring the distance between histograms,
PR(35), No. 6, June 2002, pp. 1355-1370.
Elsevier DOI 0203
BibRef

Kamarainen, J.K.[Joni-Kristian], Kyrki, V.[Ville], Ilonen, J.[Jarmo], Kälviäinen, H.[Heikki],
Improving similarity measures of histograms using smoothing projections,
PRL(24), No. 12, August 2003, pp. 2009-2019.
Elsevier DOI 0304
BibRef
Earlier:
Similarity Measures for Ordered Histograms,
SCIA01(P-W3B). 0206
BibRef

Kamarainen, J.K., Hamouz, M., Kittler, J.V., Paalanen, P., Ilonen, J., Drobchenko, A.,
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features,
NRTL07(1-8).
IEEE DOI 0710
BibRef

Kamarainen, J.K., Ilonen, J., Paalanen, P., Hamouz, M., Kälviäinen, H., Kittler, J.V.,
Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking,
SCIA05(119-129).
Springer DOI 0506
BibRef

Grigorescu, C., Petkov, N.,
Distance sets for shape filters and shape recognition,
IP(12), No. 10, October 2003, pp. 1274-1286.
IEEE DOI 0310
BibRef

Cheng, V.[Victor], Li, C.H.[Chun-Hung], Kwok, J.T.[James T.], Li, C.K.[Chi-Kwong],
Dissimilarity learning for nominal data,
PR(37), No. 7, July 2004, pp. 1471-1477.
Elsevier DOI 0405
Distance measure between patterns. BibRef

Deng, Y.[Yong], Shi, W.K.[Wen-Kang], Du, F.[Feng], Liu, Q.[Qi],
A new similarity measure of generalized fuzzy numbers and its application to pattern recognition,
PRL(25), No. 8, June 2004, pp. 875-883.
Elsevier DOI 0405
BibRef

Serratosa, F.[Francesc], Sanfeliu, A.[Alberto],
Signatures versus histograms: Definitions, distances and algorithms,
PR(39), No. 5, May 2006, pp. 921-934.
Elsevier DOI 0604
Distance between histograms; Signature; Earth mover distance; Second-order random graphs BibRef

Serratosa, F.[Francesc], Grau, A., Sanfeliu, A.[Alberto],
Distance between 2d-scenes based on oriented matroid theory,
ICPR04(II: 196-199).
IEEE DOI 0409
BibRef

Fredriksson, K.[Kimmo],
Engineering efficient metric indexes,
PRL(28), No. 1, 1 January 2007, pp. 75-84.
Elsevier DOI 0611
Algorithms; Data structures; Information retrieval; Metric space indexing; Proximity searching; Bit-parallel distance evaluations; Memory adaptiveness BibRef

Ahmad, A.[Amir], Dey, L.[Lipika],
A method to compute distance between two categorical values of same attribute in unsupervised learning for categorical data set,
PRL(28), No. 1, 1 January 2007, pp. 110-118.
Elsevier DOI 0611
Categorical data; Similarity; Unsupervised learning; Co-occurrences BibRef

Li, Y.H.[Yan-Hong], Olson, D.L.[David L.], Qin, Z.[Zheng],
Similarity Measures Between Intuitionistic Fuzzy (Vague) Sets: A Comparative Analysis,
PRL(28), No. 2, 15 January 2007, pp. 278-285.
Elsevier DOI 0611
Pattern recognition; Similarity measures; Intuitionistic fuzzy sets (IFSs); Vague sets BibRef

Guru, D.S., Nagendraswamy, H.S.,
Symbolic representation of two-dimensional shapes,
PRL(28), No. 1, 1 January 2007, pp. 144-155.
Elsevier DOI 0611
Axis of least inertia; Feature extraction; Multi-interval-valued features; Symbolic shape representation; Shape similarity; Shape retrieval BibRef

Nagendraswamy, H.S., Guru, D.S.,
A New Method of Representing and Matching Two Dimensional Shapes,
IJIG(7), No. 2, April 2007, pp. 377-405. 0704
BibRef

d'Amico, M.[Michele], Frosini, P.[Patrizio], Landi, C.[Claudia],
Using matching distance in size theory: A survey,
IJIST(16), No. 5, 2006, pp. 154-161.
DOI Link 0704
Survey, Distance. BibRef

Efrat, A.[Alon], Fan, Q.F.[Quan-Fu], Venkatasubramanian, S.[Suresh],
Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves,
JMIV(27), No. 3, April 2007, pp. 203-216.
Springer DOI 0704
BibRef

Liu, C.J.[Cheng-Jun],
The Bayes Decision Rule Induced Similarity Measures,
PAMI(29), No. 6, June 2007, pp. 1086-1090.
IEEE DOI 0704
Similarity measure for face recognition. For more analysis:
See also On Distributional Assumptions and Whitened Cosine Similarities. BibRef

Liu, C.J.[Cheng-Jun],
Clarification of Assumptions in the Relationship between the Bayes Decision Rule and the Whitened Cosine Similarity Measure,
PAMI(30), No. 6, June 2008, pp. 1116-1117.
IEEE DOI 0804
BibRef

Bandyopadhyay, S.[Sanghamitra], Saha, S.[Sriparna],
GAPS: A clustering method using a new point symmetry-based distance measure,
PR(40), No. 12, December 2007, pp. 3430-3451.
Elsevier DOI 0709
Unsupervised classification; Genetic algorithm; Symmetry; Point symmetry-based distance; Kd-tree
See also symmetry based multiobjective clustering technique for automatic evolution of clusters, A. BibRef

Saha, S.[Sriparna], Bandyopadhyay, S.[Sanghamitra],
A new multiobjective simulated annealing based clustering technique using symmetry,
PRL(30), No. 15, 1 November 2009, pp. 1392-1403.
Elsevier DOI 0910
Clustering; Multiobjective optimization; Symmetry; Compactness; Simulated annealing BibRef

Qin, Y.S.[Yong-Song], Zhang, S.C.[Shi-Chao],
Empirical likelihood confidence intervals for differences between two datasets with missing data,
PRL(29), No. 6, 15 April 2008, pp. 803-812.
Elsevier DOI 0803
Empirical likelihood; Confidence interval; Missing data; Imputation BibRef

Loog, M.[Marco],
On Distributional Assumptions and Whitened Cosine Similarities,
PAMI(30), No. 6, June 2008, pp. 1114-1115.
IEEE DOI 0804

See also Bayes Decision Rule Induced Similarity Measures, The. Some assumptions to derive the measure or too restrictive. BibRef

de Raedt, L.[Luc], Ramon, J.[Jan],
Deriving distance metrics from generality relations,
PRL(30), No. 3, 1 February 2009, pp. 187-191.
Elsevier DOI 0804
Distance metric; General-specific ordering; Size-function based metric BibRef

Song, D., Tao, D.,
Biologically Inspired Feature Manifold for Scene Classification,
IP(19), No. 1, January 2010, pp. 174-184.
IEEE DOI 1001
Eucledian distance doesn't work. Difference in features. BibRef

Chang, C.C.[Chin-Chun],
Generalized iterative RELIEF for supervised distance metric learning,
PR(43), No. 8, August 2010, pp. 2971-2981.
Elsevier DOI 1006
Distance metric learning; Iterative RELIEF; Feature weighting BibRef

Chang, C.C.[Chin-Chun],
A boosting approach for supervised Mahalanobis distance metric learning,
PR(45), No. 2, February 2012, pp. 844-862.
Elsevier DOI 1110
Distance metric learning; Hypothesis margins; Boosting approaches BibRef

dos Santos, D.A.[Daniel Andres], Deutsch, R.[Reena],
The Positive Matching Index: A new similarity measure with optimal characteristics,
PRL(31), No. 12, 1 September 2010, pp. 1570-1576.
Elsevier DOI 1008
Binary data; Association coefficient; Jaccard index; Dice index; Similarity Measure of similarity between 2 lists of objects. easy to calculate, and has a meaning expressable in natural language. BibRef

Quadrianto, N.[Novi], Smola, A.J.[Alexander J.], Song, L.[Le], Tuytelaars, T.[Tinne],
Kernelized Sorting,
PAMI(32), No. 10, October 2010, pp. 1809-1821.
IEEE DOI 1008
Similarity measure only needed within each class. Maximize the dependency between matched pairs. BibRef

Dubuisson, S.[Severine],
Tree-structured image difference for fast histogram and distance between histograms computation,
PRL(32), No. 3, 1 February 2011, pp. 411-422.
Elsevier DOI 1101
BibRef
Earlier:
The computation of the Bhattacharyya distance between histograms without histograms,
IPTA10(373-378).
IEEE DOI 1007
Fast histogram computation; Integral histogram; Histogram-based distance BibRef

Vaccari, L.[Lorenzino], Shvaiko, P.[Pavel], Pane, J.[Juan], Besana, P.[Paolo], Marchese, M.[Maurizio],
An evaluation of ontology matching in geo-service applications,
GeoInfo(16), No. 1, January 2012, pp. 31-66.
WWW Link. 1201
BibRef

Brunet, D.[Dominique], Vrscay, E.R.[Edward R.], Wang, Z.[Zhou],
On the Mathematical Properties of the Structural Similarity Index,
IP(21), No. 4, April 2012, pp. 1488-1499.
IEEE DOI 1204
BibRef
Earlier:
A Class of Image Metrics Based on the Structural Similarity Quality Index,
ICIAR11(I: 100-110).
Springer DOI 1106
BibRef
And:
Structural Similarity-Based Affine Approximation and Self-similarity of Images Revisited,
ICIAR11(II: 264-275).
Springer DOI 1106
BibRef
Earlier:
Structural Similarity-Based Approximation of Signals and Images Using Orthogonal Bases,
ICIAR10(I: 11-22).
Springer DOI 1006
BibRef

Bendevis, P.[Paul], Vrscay, E.R.[Edward R.],
Structural Similarity-Based Approximation over Orthogonal Bases: Investigating the Use of Individual Component Functions Sk(x,y),
ICIAR14(I: 55-64).
Springer DOI 1410
BibRef

Brunet, D.[Dominique], Vrscay, E.R.[Edward R.], Wang, Z.[Zhou],
The Use of Residuals in Image Denoising,
ICIAR09(1-12).
Springer DOI 0907
BibRef

Klette, R.[Reinhard], Žunic, J.[Joviša],
ADR shape descriptor: Distance between shape centroids versus shape diameter,
CVIU(116), No. 6, June 2012, pp. 690-697.
Elsevier DOI 1204
Shape; Shape descriptor; Shape centroid; Shape diameter; Image analysis; Computer vision BibRef

Erten, E., Reigber, A., Ferro-Famil, L., Hellwich, O.,
A New Coherent Similarity Measure for Temporal Multichannel Scene Characterization,
GeoRS(50), No. 7, July 2012, pp. 2839-2851.
IEEE DOI 1208
BibRef

Aflalo, Y.[Yonathan], Kimmel, R.[Ron], Zibulevsky, M.[Michael],
Conformal Mapping with as Uniform as Possible Conformal Factor,
SIIMS(6), No. 1, 2013, pp. 78-101.
DOI Link 1304
BibRef

Aflalo, Y.[Yonathan], Kimmel, R.[Ron],
Measuring Geodesic Distances via the Uniformization Theorem,
SSVM11(471-482).
Springer DOI 1201
BibRef

de Carvalho, O.A.[Osmar Abílio], Guimarães, R.F.[Renato Fontes], Silva, N.C.[Nilton Correia], Gillespie, A.R.[Alan R.], Gomes, R.A.T.[Roberto Arnaldo Trancoso], Silva, C.R.[Cristiano Rosa], de Carvalho, A.P.F.[Ana Paula Ferreira],
Radiometric Normalization of Temporal Images Combining Automatic Detection of Pseudo-Invariant Features from the Distance and Similarity Spectral Measures, Density Scatterplot Analysis, and Robust Regression,
RS(5), No. 6, 2013, pp. 2763-2794.
DOI Link 1307
BibRef

Ning, L.P.[Li-Peng], Jiang, X.H.[Xian-Hua], Georgiou, T.,
On the Geometry of Covariance Matrices,
SPLetters(20), No. 8, 2013, pp. 787-790.
IEEE DOI 1307
Gaussian distribution. distance measures between covariance matrices BibRef

Papakostas, G.A., Hatzimichailidis, A.G., Kaburlasos, V.G.,
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view,
PRL(34), No. 14, 2013, pp. 1609-1622.
Elsevier DOI 1308
Intuitionistic fuzzy sets BibRef

Frery, A.C., Nascimento, A.D.C., Cintra, R.J.,
Analytic Expressions for Stochastic Distances Between Relaxed Complex Wishart Distributions,
GeoRS(52), No. 2, February 2014, pp. 1213-1226.
IEEE DOI 1402
Monte Carlo methods BibRef

Nascimento, A.D.C., Frery, A.C., Cintra, R.J.,
Bias Correction and Modified Profile Likelihood Under the Wishart Complex Distribution,
GeoRS(52), No. 8, August 2014, pp. 4932-4941.
IEEE DOI 1403
Covariance matrices BibRef

Tian, W., Wang, Y., Shan, X., Yang, J.,
Track-to-Track Association for Biased Data Based on the Reference Topology Feature,
SPLetters(21), No. 4, April 2014, pp. 449-453.
IEEE DOI 1403
BibRef

Ethier, M.[Marc], Kaczynski, T.[Tomasz],
Suspension models for testing shape similarity methods,
CVIU(121), No. 1, 2014, pp. 13-20.
Elsevier DOI 1404
Topological suspension BibRef

Iancu, I.[Ion],
Intuitionistic fuzzy similarity measures based on Frank t-norms family,
PRL(42), No. 1, 2014, pp. 128-136.
Elsevier DOI 1404
Intuitionistic fuzzy set BibRef

Ji, J.Q.[Jian-Qiu], Yan, S.C.[Shui-Cheng], Li, J.M.[Jian-Min], Gao, G.Y.[Guang-Yu], Tian, Q.[Qi], Zhang, B.[Bo],
Batch-Orthogonal Locality-Sensitive Hashing for Angular Similarity,
PAMI(36), No. 10, October 2014, pp. 1963-1974.
IEEE DOI 1410
cryptography BibRef

Ballatore, A.[Andrea], Bertolotto, M.[Michela], Wilson, D.C.[David C.],
An evaluative baseline for geo-semantic relatedness and similarity,
GeoInfo(18), No. 4, 2014, pp. 747-767.
WWW Link. 1410
BibRef

Ballatore, A.[Andrea], Bertolotto, M.[Michela], Wilson, D.C.[David C.],
A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs,
IJGI(4), No. 2, 2015, pp. 471-492.
DOI Link 1504
BibRef

Li, C.Q.[Chao-Qun], Jiang, L.X.[Liang-Xiao], Li, H.W.[Hong-Wei],
Local value difference metric,
PRL(49), No. 1, 2014, pp. 62-68.
Elsevier DOI 1410
Value difference metric BibRef

Zujovic, J.[Jana], Pappas, T.N.[Thrasyvoulos N.], Neuhoff, D.L.[David L.], van Egmond, R.[Rene], de Ridder, H.[Huib],
Effective and efficient subjective testing of texture similarity metrics,
JOSA-A(32), No. 2, February 2015, pp. 329-342.
DOI Link 1502
Digital image processing BibRef

Pham, M.T.[Minh-Tri], Woodford, O.J.[Oliver J.], Perbet, F.[Frank], Maki, A.[Atsuto], Gherardi, R.[Riccardo], Stenger, B.[Björn], Cipolla, R.[Roberto],
Distances and Means of Direct Similarities,
IJCV(112), No. 3, May 2015, pp. 285-306.
Springer DOI 1505
BibRef

Dikmen, O., Yang, Z., Oja, E.,
Learning the Information Divergence,
PAMI(37), No. 7, July 2015, pp. 1442-1454.
IEEE DOI 1506
Approximation methods. difference between two nonnegative matrices. BibRef

Pilehvar, M.T.[Mohammad Taher], Navigli, R.[Roberto],
From senses to texts: An all-in-one graph-based approach for measuring semantic similarity,
AI(228), No. 1, 2015, pp. 95-128.
Elsevier DOI 1509
Semantic similarity BibRef

Cheng, H.[Hong], Liu, Z.C.[Zi-Cheng], Hou, L.[Lei], Yang, J.[Jie],
Sparsity-Induced Similarity Measure and Its Applications,
CirSysVideo(26), No. 4, April 2016, pp. 613-626.
IEEE DOI 1604
computer vision BibRef

Zhao, S.H.[Shang-Hong], Ooi, W.T.[Wei Tsang],
Modeling 3D synthetic view dissimilarity,
VC(32), No. 4, April 2016, pp. 429-443.
WWW Link. 1604
BibRef

Liu, Y.S.[Yu-Song], Su, Z.X.[Zhi-Xun], Cao, J.J.[Jun-Jie], Wang, H.[Hui],
Harmonic mean normalized Laplace-Beltrami spectral descriptor,
VC(32), No. 9, September 2016, pp. 1097-1108.
WWW Link. 1609
BibRef

Swaminathan, M.[Muthukaruppan], Yadav, P.K.[Pankaj Kumar], Piloto, O.[Obdulio], Sjöblom, T.[Tobias], Cheong, I.[Ian],
A new distance measure for non-identical data with application to image classification,
PR(63), No. 1, 2017, pp. 384-396.
Elsevier DOI 1612
Poisson-Binomial distribution BibRef

Zeng, W.Y.[Wen-Yi], Li, D.Q.[De-Qing], Yin, Q.[Qian],
Distance and similarity measures between hesitant fuzzy sets and their application in pattern recognition,
PRL(84), No. 1, 2016, pp. 267-271.
Elsevier DOI 1612
Hesitant fuzzy sets BibRef

Montalvão, J.[Jugurta], Canuto, J.[Jânio], Carvalho, E.[Elyson],
A correntropy function based on coincidence detection,
PRL(85), No. 1, 2017, pp. 84-88.
Elsevier DOI 1612
Correntropy BibRef

Akbas, C.E.[Cem Emre], Günay, O.[Osman], Tasdemir, K.[Kasim], Çetin, A.E.[A. Enis],
Energy efficient cosine similarity measures according to a convex cost function,
SIViP(11), No. 2, February 2017, pp. 349-356.
Springer DOI 1702
Vector similarit measures. BibRef

Xiao, J.[Jia], He, Z.Y.[Zong-Yi],
A Novel Approach to Semantic Similarity Measurement Based on a Weighted Concept Lattice: Exemplifying Geo-Information,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Demisse, G.G.[Girum G.], Aouada, D.[Djamila], Ottersten, B.[Björn],
Deformation Based Curved Shape Representation,
PAMI(40), No. 6, June 2018, pp. 1338-1351.
IEEE DOI 1805
BibRef
Earlier:
Similarity Metric for Curved Shapes in Euclidean Space,
CVPR16(5042-5050)
IEEE DOI 1612
Estimation, Extraterrestrial measurements, Manifolds, Mathematical model, Robustness, Shape, Shape representation, similarity-metric BibRef

Desai, N.[Nandakishor], Seghouane, A.K.[Abd-Krim], Palaniswami, M.[Marimuthu],
Algorithms for two dimensional multi set canonical correlation analysis,
PRL(111), 2018, pp. 101-108.
Elsevier DOI 1808
Face recognition, fMRI analsis. Canonical correlation analysis, Data driven statistical methods BibRef

Huzurbazar, S.[Snehalata], Kuang, D.Y.[Dong-Yang], Lee, L.[Long],
Landmark-based algorithms for group average and pattern recognition,
PR(86), 2019, pp. 172-187.
Elsevier DOI 1811
Finding the geometric median (group average) of a group of shapes. Group average, Features extraction, Landmark, Template matching, Residual momentum, Structure abnormality BibRef

Zhao, J., Han, J., Shao, L.,
Unconstrained Face Recognition Using a Set-to-Set Distance Measure on Deep Learned Features,
CirSysVideo(28), No. 10, October 2018, pp. 2679-2689.
IEEE DOI 1811
Face, Face recognition, Media, Measurement, Feature extraction, Probes, Lighting, Face recognition, IJB-A, S2S distance, kNN-average pooling BibRef

Fedorov, V.[Vadim], Ballester, C.[Coloma],
An Affine Invariant Patch Similarity,
IPOL(8), 2018, pp. 490-513.
DOI Link 1901
Code, Region Matching. BibRef

Ye, H.J.[Han-Jia], Zhan, D.C.[De-Chuan], Jiang, Y.[Yuan], Zhou, Z.H.[Zhi-Hua],
What Makes Objects Similar: A Unified Multi-Metric Learning Approach,
PAMI(41), No. 5, May 2019, pp. 1257-1270.
IEEE DOI 1904
Measurement, Couplings, Semantics, Symmetric matrices, Feature extraction, Indexes, Correlation, Distance metric learning, semantic BibRef

Havlícek, M.[Michal], Haindl, M.[Michal],
Texture spectral similarity criteria,
IET-IPR(13), No. 11, 19 September 2019, pp. 1998-2007.
DOI Link 1909
BibRef

Ye, H.J.[Han-Jia], Zhan, D.C.[De-Chuan], Li, N.[Nan], Jiang, Y.[Yuan],
Learning Multiple Local Metrics: Global Consideration Helps,
PAMI(42), No. 7, July 2020, pp. 1698-1712.
IEEE DOI 2006
Redundancy, Euclidean distance, Task analysis, Training, Complexity theory, Semantics, Distance metric learning, generalization analysis BibRef

Wang, L.B.[Lin-Bo], Chen, B.B.[Bin-Bin], Xu, P.[Peng], Ren, H.L.[Hong-Long], Fang, X.Y.[Xian-Yong], Wan, S.H.[Shao-Hua],
Geometry consistency aware confidence evaluation for feature matching,
IVC(103), 2020, pp. 103984.
Elsevier DOI 2011
Feature matching, Topological structure, Matching confidence BibRef

Sogi, N.[Naoya], Zhu, R.[Rui], Xue, J.H.[Jing-Hao], Fukui, K.[Kazuhiro],
Constrained mutual convex cone method for image set based recognition,
PR(121), 2022, pp. 108190.
Elsevier DOI 2109
Image-set based method, Convex cone representation, Multiple angles BibRef

Xu, F.Y.[Fu-Yu], Beard, K.[Kate],
A Unifying Framework for Analysis of Spatial-Temporal Event Sequence Similarity and Its Applications,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Liu, X.B.[Xia-Bin], Zhang, S.L.[Shi-Liang],
Who is closer: A computational method for domain gap evaluation,
PR(122), 2022, pp. 108293.
Elsevier DOI 2112
Domain gap evaluation, CNN, Domain adaptive learning BibRef

Hammer, H.L.[Hugo L.], Yazidi, A.[Anis], Rue, H.[Håvard],
Estimating Tukey depth using incremental quantile estimators,
PR(122), 2022, pp. 108339.
Elsevier DOI 2112
Data stream, Incremental quantile estimator, Distributional patterns, Real-time analytics, Tukey depth BibRef

Luo, X.[Xiao], Ma, Z.[Zeyu], Cheng, W.[Wei], Deng, M.H.[Ming-Hua],
Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning,
SPLetters(29), 2022, pp. 602-606.
IEEE DOI 2203
Codes, Semantics, Feature extraction, Training, Robustness, Binary codes, Mathematical models, Learning to hash, image retrieval BibRef

Bergmann, P.[Paul], Batzner, K.[Kilian], Fauser, M.[Michael], Sattlegger, D.[David], Steger, C.[Carsten],
Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization,
IJCV(130), No. 1, January 2022, pp. 947-969.
Springer DOI 2204
Structural (i.e. different orientation), logical (wrong count). BibRef

Lin, L.[Lili], Chen, H.[Hong], Kuruoglu, E.E.[Ercan Engin], Zhou, W.H.[Wen-Hui],
Robust structural similarity index measure for images with non-Gaussian distortions,
PRL(163), 2022, pp. 10-16.
Elsevier DOI 2212
SSIM, Non-Gaussian noise, Robust SSIM, -norm SSIM, -norm SSIM BibRef

Li, J.[Jiang], Shao, H.[Haijian], Zhai, S.J.[Sheng-Jie], Jiang, Y.T.[Ying-Tao], Deng, X.[Xing],
A graphical approach for filter pruning by exploring the similarity relation between feature maps,
PRL(166), 2023, pp. 69-75.
Elsevier DOI 2302
Feature maps, Graph of similarity relations, Redundant filters, "One-shot" pruning, Deep learning models BibRef

de Lara, L.[Lucas], Gonzalez-Sanz, A.[Alberto], Loubes, J.M.[Jean-Michel],
Diffeomorphic Registration Using Sinkhorn Divergences,
SIIMS(16), No. 1, 2023, pp. 250-279.
DOI Link 2302
Matching function between two probability measures. BibRef

He, Z.W.[Zhen-Wen], Liu, X.Z.[Xian-Zhen], Zhang, C.F.[Chun-Feng],
Similarity Measurement and Retrieval of Three-Dimensional Voxel Model Based on Symbolic Operator,
IJGI(13), No. 3, 2024, pp. 89.
DOI Link 2404
BibRef

Yang, Y.C.[Yu-Chen], Wang, L.[Likai], Yang, E.[Erkun], Deng, C.[Cheng],
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency,
CVPR24(17700-17709)
IEEE DOI 2410
Training, Matched filters, Semantics, Noise, Training data, Propulsion BibRef

Song, J.[Jie], Xu, Z.Q.[Zheng-Qi], Wu, S.[Sai], Chen, G.[Gang], Song, M.L.[Ming-Li],
ModelGiF: Gradient Fields for Model Functional Distance,
ICCV23(6102-6112)
IEEE DOI Code:
WWW Link. 2401
BibRef

Lyu, X.Y.[Xiao-Yang], Dai, P.[Peng], Li, Z.Z.[Zi-Zhang], Yan, D.[Dongyu], Lin, Y.[Yi], Peng, Y.F.[Yi-Fan], Qi, X.J.[Xiao-Juan],
Learning A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation,
ICCV23(8906-8916)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wen, Y.D.[Yan-Dong], Liu, W.[Weiyang], Feng, Y.[Yao], Raj, B.[Bhiksha], Singh, R.[Rita], Weller, A.[Adrian], Black, M.J.[Michael J.], Schölkopf, B.[Bernhard],
Pairwise Similarity Learning is SimPLE,
ICCV23(5285-5295)
IEEE DOI 2401
BibRef

Venkataramanan, A.[Aishwarya], Benbihi, A.[Assia], Laviale, M.[Martin], Pradalier, C.[Cédric],
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers,
Uncertainty23(4490-4499)
IEEE DOI 2401
BibRef

Risser-Maroix, O.[Olivier], Kurtz, C.[Camille], Loménie, N.[Nicolas],
Discovering Respects for Visual Similarity,
SSSPR22(132-141).
Springer DOI 2301
BibRef

Banaeyan, M.[Majid], Carratù, C.[Carmine], Kropatsch, W.G.[Walter G.], Hladuvka, J.[Jirí],
Fast Distance Transforms in Graphs and in Gmaps,
SSSPR22(193-202).
Springer DOI 2301
BibRef

Zhang, B.[Borui], Zheng, W.Z.[Wen-Zhao], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
Attributable Visual Similarity Learning,
CVPR22(7522-7531)
IEEE DOI 2210
Learning systems, Representation learning, Measurement, Visualization, Text recognition, Semantics, Recognition: detection, Representation learning BibRef

Zhang, Y.F.[Yan-Fu], Luo, L.[Lei], Xian, W.H.[Wen-Han], Huang, H.[Heng],
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding,
ICCV21(9898-9907)
IEEE DOI 2203
Training, Representation learning, Measurement, Manifolds, Visualization, Costs, Representation learning, Image and video retrieval BibRef

Xiao, T.[Tete], Reed, C.J.[Colorado J.], Wang, X.L.[Xiao-Long], Keutzer, K.[Kurt], Darrell, T.J.[Trevor J.],
Region Similarity Representation Learning,
ICCV21(10519-10528)
IEEE DOI 2203
Representation learning, Location awareness, Convolutional codes, Image segmentation, Semantics, Pose estimation, Neural networks, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Wang, Z.W.[Zi-Wei], Wang, Y.S.[Yun-Song], Wu, Z.[Ziyi], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Instance Similarity Learning for Unsupervised Feature Representation,
ICCV21(10316-10325)
IEEE DOI 2203
Manifolds, Codes, Computer network reliability, Semantics, Euclidean distance, Generative adversarial networks, BibRef

Kvinge, H.[Henry], Jefferson, B.[Brett], Joslyn, C.[Cliff], Purvine, E.[Emilie],
Sheaves as a Framework for Understanding and Interpreting Model Fit,
TAG-CV21(4205-4213)
IEEE DOI 2112
Deep learning, Analytical models, Computational modeling, Data models BibRef

Ma, X.F.[Xiao-Feng], Kirby, M.[Michael], Peterson, C.[Chris],
The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets,
TAG-CV21(4168-4177)
IEEE DOI 2112
Manifolds, Geometry, Shape, Data visualization, Tools BibRef

Li, Q.[Qian], Wang, Z.C.[Zhi-Chao], Li, G.[Gang], Pang, J.[Jun], Xu, G.D.[Guan-Dong],
Hilbert Sinkhorn Divergence for Optimal Transport,
CVPR21(3834-3843)
IEEE DOI 2111
Compare probability distributions in optimal transport. Measurement, Manifolds, Training, Probability distribution, Complexity theory, Manifold learning BibRef

Amir, D.[Dan], Weiss, Y.[Yair],
Understanding and Simplifying Perceptual Distances,
CVPR21(12221-12230)
IEEE DOI 2111
Training, Computer architecture, Tools, Extraterrestrial measurements, Convolutional neural networks BibRef

Mishra, S.[Samarth], Zhang, Z.P.[Zhong-Ping], Shen, Y.[Yuan], Kumar, R.[Ranjitha], Saligrama, V.[Venkatesh], Plummer, B.A.[Bryan A.],
Effectively Leveraging Attributes for Visual Similarity,
ICCV21(995-1004)
IEEE DOI 2203
BibRef
Earlier: CVFAD21(3899-3904)
IEEE DOI 2109
Training, Visualization, Annotations, Shape, Image color analysis, Shape measurement, Recognition and classification, Vision applications and systems. Visualization, Annotations, Shape, Image color analysis, Shape measurement BibRef

Gu, Y.[Yan], Duan, J.D.[Jiu-Ding], Kashima, H.[Hisashi],
An Intransitivity Model for Matchup and Pairwise Comparison,
ICPR21(692-698)
IEEE DOI 2105
Couplings, Predictive models, Probabilistic logic, Standards BibRef

Jin, J.C.[Jiong-Chao], Patil, A.G.[Akshay Gadi], Xiong, Z.[Zhang], Zhang, H.[Hao],
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction,
ECCV20(XXI:295-311).
Springer DOI 2011
BibRef

Tan, R.[Reuben], Vasileva, M.[Mariya], Saenko, K.[Kate], Plummer, B.A.[Bryan A.],
Learning Similarity Conditions Without Explicit Supervision,
ICCV19(10372-10381)
IEEE DOI 2004
image classification, image representation, learning (artificial intelligence), Measurement BibRef

Cava, J.K., Houghton, T., Yu, H.,
Towards Generalizable Distance Estimation By Leveraging Graph Information,
Preregister19(4603-4605)
IEEE DOI 2004
approximation theory, graph theory, object detection, generalizable distance estimation, GCN BibRef

Orihuela, I.M.[Isabel Molina], Ebrahimi, M.[Mehran],
An Efficient Algorithm for Computing the Derivative of Mean Structural Similarity Index Measure,
ICIAR19(I:55-66).
Springer DOI 1909
BibRef

Bandyopadhyay, S.[Sambaran], Nandanwar, S.[Sharad], Deshmukh, R.[Rishabh], Musti, N.M.[Narasimha Murty],
DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups,
ICPR18(964-969)
IEEE DOI 1812
Machine learning, Approximation algorithms, Machine learning algorithms, Partitioning algorithms, Cost function BibRef

Zhang, R.[Richard], Isola, P.[Phillip], Efros, A.A.[Alexei A.], Shechtman, E.[Eli], Wang, O.[Oliver],
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric,
CVPR18(586-595)
IEEE DOI 1812
Distortion, Task analysis, Measurement, Visualization, Training, Network architecture, Computer architecture BibRef

Liu, Y.[Yu], Yan, J.J.[Jun-Jie], Ouyang, W.L.[Wan-Li],
Quality Aware Network for Set to Set Recognition,
CVPR17(4694-4703)
IEEE DOI 1711
Aggregates, Face, Feature extraction, Image recognition, Neural networks, Noise measurement, Training BibRef

Uchino, T.[Taichi], Koga, H.[Hisashi], Toda, T.[Takahisa],
Improved Compression-Based Pattern Recognition Exploiting New Useful Features,
IbPRIA17(363-371).
Springer DOI 1706
PRDC (Pattern Representation on Data Compression) and NMD (Normalized Compression Distance). BibRef

Riot, P.[Paul], Almansa, A.[Andrés], Gousseau, Y.[Yann], Tupin, F.[Florence],
A Correlation-Based Dissimilarity Measure for Noisy Patches,
SSVM17(184-195).
Springer DOI 1706
BibRef

Shi, J.[Jie], Zhang, W.[Wen], Wang, Y.L.[Ya-Lin],
Shape Analysis with Hyperbolic Wasserstein Distance,
CVPR16(5051-5061)
IEEE DOI 1612
BibRef

Tax, D.M.J.[David M.J.], Cheplygina, V.[Veronika], Duin, R.P.W.[Robert P.W.], van de Poll, J.[Jan],
The Similarity Between Dissimilarities,
SSSPR16(84-94).
Springer DOI 1611
BibRef

Suhaibah, A., Uznir, U., Anton, F., Mioc, D., Rahman, A.A.,
3d Nearest Neighbour Search Using A Clustered Hierarchical Tree Structure,
ISPRS16(B2: 87-93).
DOI Link 1610
BibRef

Ramachandran, G.,
A combined distance measure for 2D shape matching,
ICCVIA15(1-5)
IEEE DOI 1603
differential geometry BibRef

Liu, Y., Wang, Y., Sowmya, A.[Arcot],
Batch Mode Active Learning for Object Detection Based on Maximum Mean Discrepancy,
DICTA15(1-7)
IEEE DOI 1603
learning (artificial intelligence) BibRef

Wu, X.M.[Xiao-Ming], Li, Z.G.[Zhen-Guo], Chang, S.F.[Shih-Fu],
New insights into Laplacian similarity search,
CVPR15(1949-1957)
IEEE DOI 1510
BibRef

Xiao, Y.[Yao], Lu, C.[Cewu], Tsougenis, E.[Efstratios], Lu, Y.Y.[Yong-Yi], Tang, C.K.[Chi-Keung],
Complexity-adaptive distance metric for object proposals generation,
CVPR15(778-786)
IEEE DOI 1510
BibRef

Nakamura, K.[Kazuaki], Babaguchi, N.[Noboru],
Inter-Concept Distance Measurement with Adaptively Weighted Multiple Visual Features,
FSLCV14(III: 56-70).
Springer DOI 1504
BibRef

Shtern, A.[Alon], Kimmel, R.[Ron],
Iterative Closest Spectral Kernel Maps,
3DV14(499-505)
IEEE DOI 1503
Laplace-Beltrami operator; correspondence; shape matching. Measure of similarity of shapes. BibRef

Hast, A.[Anders],
Robust and Invariant Phase Based Local Feature Matching,
ICPR14(809-814)
IEEE DOI 1412
Correlation. Patches. BibRef

Aidos, H.[Helena], Fred, A.[Ana],
Learning Similarities by Accumulating Evidence in a Probabilistic Way,
CIARP14(596-603).
Springer DOI 1411
BibRef

Li, D.C.[Dong-Chang], La Torre, D.[Davide], Vrscay, E.R.[Edward R.],
Existence, Uniqueness and Asymptotic Behaviour of Intensity-Based Measures Which Conform to a Generalized Weber's Model of Perception,
ICIAR19(I:297-308).
Springer DOI 1909
BibRef

Kowalik-Urbaniak, I.A.[Ilona A.], La Torre, D.[Davide], Vrscay, E.R.[Edward R.], Wang, Z.[Zhou],
Some 'Weberized' L2-Based Methods of Signal/Image Approximation,
ICIAR14(I: 20-29).
Springer DOI 1410
perceptual difference. BibRef

Gardner, A.[Andrew], Kanno, J.[Jinko], Duncan, C.A.[Christian A], Selmic, R.[Rastko],
Measuring Distance between Unordered Sets of Different Sizes,
CVPR14(137-143)
IEEE DOI 1409
Earth Mover's Distance;Jaccard Index;Metric BibRef

Liwicki, S.[Stephan], Pham, M.T.[Minh-Tri], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja], Stenger, B.[Bjorn],
Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations,
CVPR14(105-112)
IEEE DOI 1409
BibRef

Jayasumana, S.[Sadeep], Salzmann, M.[Mathieu], Li, H.D.[Hong-Dong], Harandi, M.T.[Mehrtash T.],
A Framework for Shape Analysis via Hilbert Space Embedding,
ICCV13(1249-1256)
IEEE DOI 1403
Mercer kernels; Positive definite kernels; Shape analysis; Shape manifold BibRef

Tabia, H.[Hedi], Picard, D.[David], Laga, H.[Hamid], Gosselin, P.H.[Philippe-Henri],
Fast Approximation of Distance Between Elastic Curves using Kernels,
BMVC13(xx-yy).
DOI Link 1402
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Mottini, A.[Alejandro], Descombes, X.[Xavier], Besse, F.[Florence],
Tree-like Shapes Distance Using the Elastic Shape Analysis Framework,
BMVC13(xx-yy).
DOI Link 1402
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Alexandre, L.A.[Luís A.],
Set Distance Functions for 3D Object Recognition,
CIARP13(I:57-64).
Springer DOI 1311
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Martos, G.[Gabriel], Muñoz, A.[Alberto], González, J.[Javier],
On the Generalization of the Mahalanobis Distance,
CIARP13(I:125-132).
Springer DOI 1311
BibRef

Martos, G.[Gabriel], Muñoz, A.[Alberto],
Local Entropies for Kernel Selection and Outlier Detection in Functional Data,
CIARP15(611-618).
Springer DOI 1511
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Muñoz, A.[Alberto], Martos, G.[Gabriel], González, J.[Javier],
A New Distance for Data Sets in a Reproducing Kernel Hilbert Space Context,
CIARP13(I:222-229).
Springer DOI 1311
BibRef

Drayer, B.[Benjamin], Brox, T.[Thomas],
Training Deformable Object Models for Human Detection Based on Alignment and Clustering,
ECCV14(V: 406-420).
Springer DOI 1408
BibRef
Earlier:
Distances Based on Non-rigid Alignment for Comparison of Different Object Instances,
GCPR13(215-224).
Springer DOI 1311
BibRef

Amelio, A.[Alessia], Pizzuti, C.[Clara],
A New Evolutionary-Based Clustering Framework for Image Databases,
ICISP14(322-331).
Springer DOI 1406
BibRef
Earlier:
Average Common Submatrix: A New Image Distance Measure,
CIAP13(I:170-180).
Springer DOI 1311
BibRef

Elboer, E.[Elhanan], Werman, M.[Michael], Hel-Or, Y.[Yacov],
The Generalized Laplacian Distance and Its Applications for Visual Matching,
CVPR13(2315-2322)
IEEE DOI 1309
graph Laplacian; template matching BibRef

Farahzadeh, E.[Elahe], Cham, T.J.[Tat-Jen], Li, W.Q.[Wan-Qing],
Incorporating local and global information using a novel distance function for scene recognition,
WORV13(132-137)
IEEE DOI 1307
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Diu, M.[Michael], Gangeh, M.[Mehrdad], Kamel, M.S.[Mohamed S.],
Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy,
ICIAR13(336-345).
Springer DOI 1307
Quantify similarity between objects. BibRef

Tan, Y.[Ying], Fang, Y.C.[Yu-Chun], Li, Y.[Yang], Dai, W.[Wang],
Adaptive Kernel Size Selection for Correntropy Based Metric,
CVLBP12(I:50-60).
Springer DOI 1304
correntropy to measure similarity of 2 random variables. BibRef

Bougleux, S.[Sebastien], Dupe, F.X.[Francois-Xavier], Brun, L.[Luc], Gauzere, B.[Benoit], Mokhtari, M.[Myriam],
Shape similarity based on combinatorial maps and a tree pattern kernel,
ICPR12(1602-1605).
WWW Link. 1302
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Karsnas, A.[Andreas], Strand, R.[Robin], Saha, P.K.[Punam K.],
The vectorial Minimum Barrier Distance,
ICPR12(792-795).
WWW Link. 1302
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Chauhan, A.[Aneesh], Lopes, L.S.[Luis Seabra],
Manhattan-Pyramid Distance: A solution to an anomaly in pyramid matching by minimization,
ICPR12(2668-2672).
WWW Link. 1302
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Wu, M.[Meng], Zhou, J.[Jun], Sun, J.[Jun],
Learning a Mahalanobis distance metric via regularized LDA for scene recognition,
ICIP12(3125-3128).
IEEE DOI 1302
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Sethi, M.[Manu], Rangarajan, A.[Anand], Gurumoorthy, K.[Karthik],
The Schrödinger distance transform (SDT) for point-sets and curves,
CVPR12(198-205).
IEEE DOI 1208
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Wang, H.[Hua], Nie, F.P.[Fei-Ping], Huang, H.[Heng],
Robust and discriminative distance for Multi-Instance Learning,
CVPR12(2919-2924).
IEEE DOI 1208
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Verma, N.[Nakul], Mahajan, D.[Dhruv], Sellamanickam, S.[Sundararajan], Nair, V.[Vinod],
Learning hierarchical similarity metrics,
CVPR12(2280-2287).
IEEE DOI 1208
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Zaidi, N.A.[Nayyar A.], Squire, D.M.[David McG.],
Local Adaptive SVM for Object Recognition,
DICTA10(196-201).
IEEE DOI 1012
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And:
SVMs and data dependent distance metric,
IVCNZ10(1-7).
IEEE DOI 1203
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Hou, J.[Jian], Zhang, B.P.[Bo-Ping], Qi, N.M.[Nai-Ming], Yang, Y.[Yong],
Evaluating Feature Combination in Object Classification,
ISVC11(II: 597-606).
Springer DOI 1109
combine multiple features to get a stronger feature. BibRef

Curic, V.[Vladimir], Lindblad, J.[Joakim], Sladoje, N.[Nataša],
Distance Measures between Digital Fuzzy Objects and Their Applicability in Image Processing,
IWCIA11(385-397).
Springer DOI 1105
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Wagner, J.[Jenny], Ommer, B.[Björn],
Efficient Clustering Earth Mover's Distance,
ACCV10(II: 477-488).
Springer DOI 1011
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Boltz, S.[Sylvain], Nielsen, F.[Frank], Soatto, S.[Stefano],
Earth Mover Distance on superpixels,
ICIP10(4597-4600).
IEEE DOI 1009
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Xu, W.P.[Wei-Ping], Hancock, E.R.[Edwin R.], Wilson, R.C.[Richard C.],
Ricci flow embedding for rectifying non-Euclidean dissimilarity data,
PR(47), No. 11, 2014, pp. 3709-3725.
Elsevier DOI 1407
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Earlier:
Rectifying Non-Euclidean Similarity Data Using Ricci Flow Embedding,
ICPR10(3324-3327).
IEEE DOI 1008
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And:
Rectifying Non-euclidean Similarity Data through Tangent Space Reprojection,
IbPRIA11(379-386).
Springer DOI 1106
Non-Euclidean pairwise data BibRef

Xu, E.[Eilza], Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Curvature Estimation for Ricci Flow Embedding,
ICPR14(1562-1567)
IEEE DOI 1412
Eigenvalues and eigenfunctions BibRef

Fan, Y.[Yu], Houle, D.[David], Mio, W.[Washington],
Learning Metrics for Shape Classification and Discrimination,
ICPR10(2652-2655).
IEEE DOI 1008
generalize the Procrustes distance. BibRef

Ibba, A.[Alessandro], Duin, R.P.W.[Robert P.W.], Lee, W.J.[Wan-Jui],
A Study on Combining Sets of Differently Measured Dissimilarities,
ICPR10(3360-3363).
IEEE DOI 1008
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Liu, Y.H.[Yong-Huai], Martin, R.R.[Ralph R.], Li, L.Z.[Long-Zhuang], Wei, B.G.[Bao-Gang],
Accurate Overlap Area Detection Using a Histogram and Multiple Closest Points,
ICCVG10(II: 98-109).
Springer DOI 1009
BibRef

Pele, O.[Ofir], Werman, M.[Michael],
The Quadratic-Chi Histogram Distance Family,
ECCV10(II: 749-762).
Springer DOI 1009
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Kim, J.[Junae], Shen, C.H.[Chun-Hua], Wang, L.[Lei],
A Scalable Algorithm for Learning a Mahalanobis Distance Metric,
ACCV09(III: 299-310).
Springer DOI 0909
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Cheng, H.[Hong], Liu, Z.C.[Zi-Cheng], Yang, J.[Jie],
Sparsity induced similarity measure for label propagation,
ICCV09(317-324).
IEEE DOI 0909
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Gissler, M., Dornhege, C., Nebel, B., Teschner, M.,
Deformable Proximity Queries and Their Application in Mobile Manipulation Planning,
ISVC09(I: 79-88).
Springer DOI 0911
Distance between arbitrary objects. BibRef

Jin, R.[Rong], Wang, S.J.[Shi-Jun], Zhou, Z.H.[Zhi-Hua],
Learning a distance metric from multi-instance multi-label data,
CVPR09(896-902).
IEEE DOI 0906
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Rouse, D.M.[David M.], Hemami, S.S.[Sheila S.],
Understanding and simplifying the structural similarity metric,
ICIP08(1188-1191).
IEEE DOI 0810
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Née, G.[Guillaume], Jehan-Besson, S.[Stéphanie], Brun, L.[Luc], Revenu, M.[Marinette],
Significance Tests and Statistical Inequalities for Segmentation by Region Growing on Graph,
CAIP09(939-946).
Springer DOI 0909
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And:
Significance Tests and Statistical Inequalities for Region Matching,
SSPR08(350-360).
Springer DOI 0812
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Dinh, H.Q.[H. Quynh], Xu, L.F.[Lie-Fei],
Measuring the Similarity of Vector Fields Using Global Distributions,
SSPR08(187-196).
Springer DOI 0812
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Lakaemper, R.[Rolf], Zeng, J.T.[Jing-Ting],
A Context Dependent Distance Measure for Shape Clustering,
ISVC08(II: 145-156).
Springer DOI 0812
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Medina-Pagola, J.E.[José E.], Rodríguez-González, A.Y.[Ansel Y.], Díaz, A.H.[Abdel Hechavarría],
Formal Distance vs. Association Strength in Text Processing,
CIARP07(930-939).
Springer DOI 0711
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Perez-Garcia, A.[Arturo], Ayala-Ramirez, V.[Victor], Sanchez-Yanez, R.E.[Raul E.], Avina-Cervantes, J.G.[Juan-Gabriel],
Monte Carlo Evaluation of the Hausdorff Distance for Shape Matching,
CIARP06(686-695).
Springer DOI 0611
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Rieck, K.[Konrad], Laskov, P.[Pavel], Müller, K.R.[Klaus-Robert],
Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels,
DAGM06(374-383).
Springer DOI 0610
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Park, B.G.[Bo Gun], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
A New Similarity Measure for Random Signatures: Perceptually Modified Hausdorff Distance,
ACIVS06(990-1001).
Springer DOI 0609
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Bhamidipati, N.L.[Narayan L.], Pal, S.K.[Sankar K.],
Comparing rank-inducing scoring systems,
ICPR06(III: 300-303).
IEEE DOI 0609
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Yu, H.C.[Hong-Chuan], Bennamoun, M.[Mohammed],
Two Novel Complete Sets of Similarity Invariants,
ISVC05(659-665).
Springer DOI 0512
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Steele, R.M.[R. Matt], Jaynes, C.[Christopher],
Feature Uncertainty Arising from Covariant Image Noise,
CVPR05(I: 1063-1070).
IEEE DOI 0507
Error or distance measures for features. BibRef

Chen, H.T.[Hwann-Tzong], Liu, T.L.[Tyng-Luh], Fuh, C.S.[Chiou-Shann],
Learning Effective Image Metrics from Few Pairwise Examples,
ICCV05(II: 1371-1378).
IEEE DOI 0510
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Horiuchi, T.,
Similarity measure of labelled images,
ICPR04(III: 602-605).
IEEE DOI 0409
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Leow, A., Chiang, M.C.[Ming-Chang], Protas, H., Thompson, P., Vese, L.A., Huang, H.S.C.,
Linear and non-linear geometric object matching with implicit representation,
ICPR04(III: 710-713).
IEEE DOI 0409
Matching points, curves, surfaces. General comparisons. BibRef

Mahamud, S.[Shyjan], Hebert, M.[Martial],
The optimal distance measure for object detection,
CVPR03(I: 248-255).
IEEE DOI 0307
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Mahamud, S.[Shyjan], Hebert, M.[Martial],
Minimum risk distance measure for object recognition,
ICCV03(242-248).
IEEE DOI 0311
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Herbin, S.,
Similarity measures between feature maps: Application to texture comparison,
Texture02(67-72). 0207
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Niblack, C.W., Yin, J.,
A pseudo-distance measure for 2D shapes based on turning angle,
ICIP95(III: 352-355).
IEEE DOI 9510
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Tanaka, E.[Eiichi], Awano, H.[Hiroaki], Masuda, S.[Sumio],
A proximity measure of line drawings for comparison of chemical compounds,
CAIP93(291-298).
Springer DOI 9309
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Washio, N.[Nobuyuki], Tanaka, E.[Eiichi], Masuda, S.[Sumio],
A similarity measure between 3-D objects and its parallel computation,
CAIP93(322-326).
Springer DOI 9309
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Ambroszkiewicz, S.[Stanislaw],
Primitive and compound patterns,
CAIP93(317-321).
Springer DOI 9309
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Just Noticiable Difference, JND .