Altmaier, A.[Angela]
* 2002: Digital surface model generation from CORONA satellite images
Altman, E.
* 2014: Analysis of Buffer Starvation With Application to Objective QoE Optimization of Streaming Services
* 2015: Topic Modeling Based Representation to Detect Tweet Locations. Example of the Event Je Suis Charlie, A
Altman, E.J.
* 1990: Dynamical Systems Approach to Integration in Stereo, A
Altman, J.[Joseph]
* 1972: Computer output display of cells and cell features
Altman, N.R.[Nolan R.]
* 2007: Comprehensive 3d Fiber Tracking As A New Visualization System In Brain Studies
Altman, S.[Safra]
* 2016: Spatially Explicit, Multi-Criteria Decision Support Model for Loggerhead Sea Turtle Nesting Habitat Suitability: A Remote Sensing-Based Approach, A
* 2022: Habitat Classification Predictions on an Undeveloped Barrier Island Using a GIS-Based Landscape Modeling Approach
Altman, T.N.[Ted N.]
* 1994: Estimation of noise using burst gate response to video signal
Altmann, A.[Andre]
* 2015: Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs
Altmann, G.L.
* 2014: Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries
Altmann, J.
* 1984: Fast Correlation Method for Scale- and Translation-Invariant Pattern Recognition, A
Altmann, M.[Moritz]
* 2023: Glaciogenic Periglacial Landform in the Making: Geomorphological Evolution of a Rockfall on a Small Glacier in the Horlachtal, Stubai Alps, Austria
Altmann, Y.
* 2011: Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model
* 2012: Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery
* 2013: Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model
* 2014: Residual Component Analysis of Hyperspectral Images: Application to Joint Nonlinear Unmixing and Nonlinearity Detection
* 2014: Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm
* 2015: Collaborative sparse regression using spatially correlated supports-Application to hyperspectral unmixing
* 2016: Bayesian approach for the multifractal analysis of spatio-temporal data, A
* 2016: Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors
* 2016: Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data
* 2018: Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors
* 2019: Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data
* 2020: Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances
* 2020: Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events
* 2020: Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation
* 2021: Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations
* 2021: Hypersphere Fitting From Noisy Data Using an EM Algorithm
* 2021: Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences
* 2022: Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation
* 2022: Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation
* 2022: Patch-Based Image Restoration Using Expectation Propagation
* 2023: Efficient Bayesian Computation for Low-Photon Imaging Problems
* 2024: Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors
Includes: Altmann, Y. Altmann, Y.[Yoann]
22 for Altmann, Y.
Altmeyer, S.[Stefan]
* 2010: Non-interferometric, non-iterative phase retrieval by Green's functions
Altmueller, S.
* 2004: Approximating high dimensional probability distributions