Krim, H.
* 1996: Multiscale Segmentation and Anomaly Enhancement of SAR Imagery
* 1997: Multiscale Segmentation and Anomaly Enhancement of SAR Imagery
* 1997: Scale-Based Robust Image Segmentation
* 1997: Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modeling
* 1998: estimation-theoretic technique for motion-compensated synthetic-aperture array imaging, An
* 1998: Invariant object recognition by shape space analysis
* 1998: Stabilized inverse diffusion equations and segmentation of vector-valued images
* 1999: Nonlinear diffusion: A probabilistic view
* 2000: Feature-preserving Flows: A Stochastic Differential Equation's View
* 2000: Image Segmentation and Edge Enhancement with Stabilized Inverse Diffusion Equations
* 2001: Nonlinear Image Filtering: Trade-off Between Optimality and Practicality
* 2001: Towards a Unified View of Estimation: Variational vs Statistical
* 2001: Variational Approach to Maximum a Posteriori Estimation for Image Denoising, A
* 2002: Active polygon for object tracking
* 2002: Multiscale Signal Enhancement: Beyond the Normality and Independence Assumption
* 2002: Stochastic differential equations and geometric flows
* 2002: topological variational model for image singularities, A
* 2002: vertex-based representation of objects in an image, A
* 2003: Facial feature extraction using topological methods
* 2003: nonlinear diffusion-based three-band filter bank, A
* 2003: Object representation and recognition in shape spaces
* 2003: Robust influence functionals for image filtering
* 2003: Topological modeling of illuminated surfaces using REEB graph
* 2004: Smart Nonlinear Diffusion: A Probabilistic Approach
* 2005: 3D Curve Interpolation and Object Reconstruction
* 2005: Fast Incorporation of Optical Flow Into Active Polygons
* 2005: Identification of a Discrete Planar Symmetric Shape From a Single Noisy View
* 2005: Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
* 2005: Probabilistic Shape Descriptor for Triangulated Surfaces
* 2005: Rotation Invariant Topology Coding of 2D and 3D Objects Using Morse Theory
* 2006: Geodesic Matching of Triangulated Surfaces
* 2006: Statistics and Analysis of Shapes
* 2007: Flexible Skew-Symmetric Shape Model for Shape Representation, Classification, and Sampling
* 2008: Edge detection and processing using shearlets
* 2008: Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function
* 2008: Probabilistic graph matching by canonical decomposition
* 2009: Capturing human activity by a curve
* 2009: Meaningful 3D shape partitioning using Morse functions
* 2009: Shearlet Approach to Edge Analysis and Detection, A
* 2010: 3D Surface Reconstruction Using Structured Circular Light Patterns
* 2010: Mahalanobis-based Adaptive Nonlinear Dimension Reduction
* 2010: Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images
* 2010: Object Recognition Through Topo-Geometric Shape Models Using Error-Tolerant Subgraph Isomorphisms
* 2010: Squigraphs for Fine and Compact Modeling of 3-D Shapes
* 2011: Human Activity Modeling as Brownian Motion on Shape Manifold
* 2011: Human Activity Modeling On Shape Manifold
* 2011: invertible dimension reduction of curves on a manifold, A
* 2011: Sampling Theorem for a 2D Surface, A
* 2012: Human Activity as a Manifold-Valued Random Process
* 2012: Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis
* 2012: System Identification: 3D Measurement Using Structured Light System
* 2014: Multi-level scene understanding via hierarchical classification
* 2014: Persistent Homology of Delay Embeddings and its Application to Wheeze Detection
* 2014: Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
* 2015: Abandoned object detection using operator-space pursuit
* 2015: Bi-sparsity pursuit for robust subspace recovery
* 2015: entropy-based persistence barcode, An
* 2015: Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology, A
* 2016: Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric
* 2016: Sparsity and Nullity: Paradigms for Analysis Dictionary Learning
* 2018: Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media
* 2018: Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic
* 2018: Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm
* 2019: Analysis Dictionary Learning Based Classification: Structure for Robustness
* 2019: Deep Dictionary Learning: A PARametric NETwork Approach
* 2019: Sparse Generative Adversarial Network
* 2022: Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
* 2023: Fast Optimal Transport for Latent Domain Adaptation
Includes: Krim, H. Krim, H.[Hamid]
68 for Krim, H.
Kriman, A.
* 1994: Range-speed imaging with FM-CW signaling
Krimmer, C.
* 2018: Portable 3-D Imaging FMCW MIMO Radar Demonstrator With a 24X24 Antenna Array for Medium-Range Applications, A