On spatial smoothing and linear prediction. - Hamid Krim; John H. Cozzens; John G. Proakis (ICASSP, 1990)

Performance analysis of smoothed subspace-based estimation methods. - Hamid Krim; Philippe Forster; John G. Proakis (ICASSP, 1991)

Further results on smoothed reduced rank subspaces. - Hamid Krim; John G. Proakis (ICASSP, 1992)

Operator approach to performance analysis of root-MUSIC and root-min-norm. - Hamid Krim; Philippe Forster; John G. Proakis (IEEE Trans. Signal Process., 1992)

Tracking nonstationarities with a wavelet transform. - Hamid Krim; Jean-Christophe Pesquet; K. Drouiche (ICASSP (1), 1993)

Smoothed eigenspace-based parameter estimation. - Hamid Krim; John G. Proakis (Autom., 1994)

A data-based enumeration technique for fully correlated signals. - Hamid Krim; John H. Cozzens (IEEE Trans. Signal Process., 1994)

Best basis algorithm for signal enhancement. - Hamid Krim; Stéphane Mallat; David L. Donoho; Alan S. Willsky (ICASSP, 1995)

Multiresolution analysis of a class of nonstationary processes. - Hamid Krim; Jean-Christophe Pesquet (IEEE Trans. Inf. Theory, 1995)

Best basis segmentation of ECG signals using novel optimality criteria. - Dana H. Brooks; Hamid Krim; Jean-Christophe Pesquet; Robert S. MacLeod (ICASSP, 1996)

Bayesian approach to best basis selection. - Jean-Christophe Pesquet; Hamid Krim; David Leporini; E. Hamman (ICASSP, 1996)

Multiscale segmentation and anomaly enhancement of SAR imagery. - Charles H. Fosgate; Hamid Krim; Alan S. Willsky; William Clement Karl (ICIP (3), 1996)

Two decades of array signal processing research: the parametric approach. - Hamid Krim; Mats Viberg (IEEE Signal Process. Mag., 1996)

Projections on unstructured subspaces. - Hamid Krim; Philippe Forster (IEEE Trans. Signal Process., 1996)

Time-invariant orthonormal wavelet representations. - Jean-Christophe Pesquet; Hamid Krim; Hervé Carfantan (IEEE Trans. Signal Process., 1996)

On the distributions of optimized multiscale representations. - Hamid Krim (ICASSP, 1997)

Robust wavelet thresholding for noise suppression. - Irvin C. Schick; Hamid Krim (ICASSP, 1997)

Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling. - Andrew J. Kim; Hamid Krim; Alan S. Willsky (ICIP (3), 1997)

Scale Space Analysis by Stabilized Inverse Diffusion Equations. - Ilya Pollak; Alan S. Willsky; Hamid Krim (Scale-Space, 1997)

Multiscale segmentation and anomaly enhancement of SAR imagery. - Charles H. Fosgate; Hamid Krim; William W. Irving; William Clement Karl; Alan S. Willsky (IEEE Trans. Image Process., 1997)

Nonlinear frame-like decompositions. - B. Pouye; Amel Benazza-Benyahia; Ilya Pollak; Jean-Christophe Pesquet; Hamid Krim (EUSIPCO, 1998)

Parsimony and wavelet methods for denoising. - Hamid Krim; Jean-Christophe Pesquet; Irvin C. Schick (ICASSP, 1998)

An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging. - Cedric L. Logan; Hamid Krim; Alan S. Willsky (ICIP (1), 1998)

Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images. - Ilya Pollak; Hamid Krim; Alan S. Willsky (ICIP (3), 1998)

Invariant Object Recognition by Shape Space Analysis. - Jun Zhang; X. Zhang; Hamid Krim (ICIP (3), 1998)

A stochastic diffusion approach to signal denoising. - Hamid Krim; Yufang Bao (ICASSP, 1999)

A nonlinear diffusion equation as a fast and optimal solver of edge detection problems. - Ilya Pollak; Alan S. Willsky; Hamid Krim (ICASSP, 1999)

Nonlinear Diffusion: A Probabilistic View. - Hamid Krim; Yufang Bao (ICIP (2), 1999)

Levy processes for image modelling. - Oleg V. Poliannikov; Yufang Bao; Hamid Krim (NSIP, 1999)

Minimax Description Length for Signal Denoising and Optimized Representation. - Hamid Krim; Irvin C. Schick (IEEE Trans. Inf. Theory, 1999)

On denoising and best signal representation. - Hamid Krim; Dewey Tucker; Stéphane Mallat; David L. Donoho (IEEE Trans. Inf. Theory, 1999)

Introduction to Special Issue on Mutliscale Statistical Signal Analysis and Its Application. - Hamid Krim; Walter Willinger; Anatoli B. Juditsky; David N. C. Tse (IEEE Trans. Inf. Theory, 1999)

Hierarchical stochastic modeling of SAR imagery for segmentation/compression. - Andrew Kim; Hamid Krim (IEEE Trans. Signal Process., 1999)

A stochastic flow for feature extraction. - Gozde B. Unal; Hamid Krim; Anthony J. Yezzi (ICASSP, 2000)

Feature-Preserving Flows: A Stochastic Differential Equation's View. - Gozde B. Unal; Hamid Krim; Anthony J. Yezzi (ICIP, 2000)

Image segmentation and edge enhancement with stabilized inverse diffusion equations. - Ilya Pollak; Alan S. Willsky; Hamid Krim (IEEE Trans. Image Process., 2000)

A Variational Approach to Maximum a Posteriori Estimation for Image Denoising. - A. Ben Hamza; Hamid Krim (EMMCVPR, 2001)

Bridging scale-space to multiscale frame analyses. - Yufang Bao; Hamid Krim (ICASSP, 2001)

Nonlinear image filtering: trade-off between optimality and practicality. - A. Ben Hamza; Hamid Krim (ICIP (3), 2001)

Towards a unified view of estimation: variational vs. statistical. - A. Ben Hamza; Hamid Krim (ICIP (2), 2001)

Image denoising: a nonlinear robust statistical approach. - A. Ben Hamza; Hamid Krim (IEEE Trans. Signal Process., 2001)

Active Polygon for Object Tracking. - Gozde B. Unal; Hamid Krim; Anthony J. Yezzi (3DPVT, 2002)

An active contour model for image segmentation: A variational perspective. - Byeong Rae Lee; A. Ben Hamza; Hamid Krim (ICASSP, 2002)

A topological variational model for image singularities. - A. Ben Hamza; Hamid Krim (ICIP (1), 2002)

A vertex-based representation of objects in an image. - Gozde B. Unal; Hamid Krim; Anthony J. Yezzi (ICIP (1), 2002)

Parameterization models for sampling planar curves. - Oleg V. Poliannikov; Hamid Krim (Image Processing: Algorithms and Systems, 2002)

Unifying probabilistic and variational estimation. - A. Ben Hamza; Hamid Krim; Gozde B. Unal (IEEE Signal Process. Mag., 2002)

Mathematical methods in imaging. - Alfred O. Hero III; Hamid Krim (IEEE Signal Process. Mag., 2002)

Multiscale signal enhancement: beyond the normality and independence assumption. - Yun He; Hamid Krim (IEEE Trans. Image Process., 2002)

Stochastic differential equations and geometric flows. - Gozde B. Unal; Hamid Krim; Anthony J. Yezzi (IEEE Trans. Image Process., 2002)

Geodesic Object Representation and Recognition. - A. Ben Hamza; Hamid Krim (DGCI, 2003)

Image Registration and Segmentation. - A. Ben Hamza; Hamid Krim (EMMCVPR, 2003)

Compression and transmission of facial images over very narrowband wireless channels. - Aysegul Gunduz; Hamid Krim; P. Allan Sadowski (ICASSP (5), 2003)

Structural risk minimization using nearest neighbor rule. - A. Ben Hamza; Hamid Krim; Bilge Karaçali (ICASSP (6), 2003)

Facial feature extraction using topological methods. - Aysegul Gunduz; Hamid Krim (ICIP (1), 2003)

Topological modeling of illuminated surfaces using Reeb graph. - A. Ben Hamza; Hamid Krim (ICIP (1), 2003)

Robust influence functionals for image filtering. - A. Ben Hamza; Hamid Krim (ICIP (3), 2003)

Object representation and recognition in shape spaces. - Jun Zhang 006; X. Zhang; Hamid Krim; Gilbert G. Walter (Pattern Recognit., 2003)

A nonlinear diffusion-based three-band filter bank. - Amel Benazza-Benyahia; Jean-Christophe Pesquet; Hamid Krim (IEEE Signal Process. Lett., 2003)

Fast minimization of structural risk by nearest neighbor rule. - Bilge Karaçali; Hamid Krim (IEEE Trans. Neural Networks, 2003)

A generalized divergence measure for robust image registration. - Yun He; A. Ben Hamza; Hamid Krim (IEEE Trans. Signal Process., 2003)

Classification and sampling of shapes through semiparametric Skew-Symmetric Shape Model. - Sajjad H. Baloch; Hamid Krim (EUSIPCO, 2004)

Semiparametric skew-symmetric modeling of planar shapes. - Sajjad Baloch; Hamid Krim (ICASSP (2), 2004)

A Nonlinear Entropic Variational Model for Image Filtering. - A. Ben Hamza; Hamid Krim; Josiane Zerubia (EURASIP J. Adv. Signal Process., 2004)

Information-Theoretic Active Polygons for Unsupervised Texture Segmentation. - Gozde B. Unal; Anthony J. Yezzi; Hamid Krim (Int. J. Comput. Vis., 2004)

Smart Nonlinear Diffusion: A Probabilistic Approach. - Yufang Bao; Hamid Krim (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

3D object representation with topo-geometric shape models. - Sajjad Baloch; Hamid Krim; Irina A. Kogan; Dmitry V. Zenkov (EUSIPCO, 2005)

An independent component analysis approach to perfusion weighted imaging. - Yang Wu; Hamid Krim; Hongyu An; Weili Lin (ICASSP (5), 2005)

Rotation invariant topology coding of 2D and 3D objects using Morse theory. - Sajjad Baloch; Hamid Krim; Irina A. Kogan; Dmitry V. Zenkov (ICIP (3), 2005)

3D curve interpolation and object reconstruction. - Sajjad Baloch; Hamid Krim; Washington Mio; Anuj Srivastava (ICIP (2), 2005)

Probabilistic shape descriptor for triangulated surfaces. - A. Ben Hamza; Hamid Krim (ICIP (1), 2005)

A multiscale approach to pixel-level image fusion. - A. Ben Hamza; Yun He; Hamid Krim; Alan S. Willsky (Integr. Comput. Aided Eng., 2005)

Identification of a discrete planar symmetric shape from a single noisy view. - Oleg V. Poliannikov; Hamid Krim (IEEE Trans. Image Process., 2005)

Fast incorporation of optical flow into active polygons. - Gozde B. Unal; Hamid Krim; Anthony J. Yezzi (IEEE Trans. Image Process., 2005)

Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking. - Gozde B. Unal; Anthony J. Yezzi; Hamid Krim (Machine Learning and Robot Perception, 2005)

2D Shape Modeling using Skeletal Graphs in a Morse Theoretic Framework. - Sajjad Hussain Baloch; Hamid Krim (Statistics and Analysis of Shapes, 2006)

Graph-based 3D object classification. - Sajjad Baloch; Hamid Krim (Computational Imaging, 2006)

3D Face Recognition Using Affine Integral Invariants. - Shuo Feng; Hamid Krim; Irene Y. H. Gu; Mats Viberg (ICASSP (2), 2006)

Geodesic matching of triangulated surfaces. - A. Ben Hamza; Hamid Krim (IEEE Trans. Image Process., 2006)

Statistical Analysis of the Global Geodesic Function for 3D Object Classification. - Djamila Aouada; Shuo Feng; Hamid Krim (ICASSP (1), 2007)

3D Mixed Invariant and its Application on Object Classification. - Shuo Feng; Djamila Aouada; Hamid Krim; Irina A. Kogan (ICASSP (1), 2007)

A New Approach to Global Optimiation by an Adapted Diffusion. - Oleg V. Poliannikov; Elena A. Zhizhina; Hamid Krim (ICASSP (3), 2007)

Integral invariants for 3D curves: an inductive approach. - Shuo Feng; Irina A. Kogan; Hamid Krim (VCIP, 2007)

Flexible Skew-Symmetric Shape Model for Shape Representation, Classification, and Sampling. - Sajjad Baloch; Hamid Krim (IEEE Trans. Image Process., 2007)

The decentralized estimation of the sample covariance. - Anna Scaglione; Roberto Pagliari; Hamid Krim (ACSCC, 2008)

3D object recognition using fully intrinsic skeletal graphs. - Djamila Aouada; Hamid Krim (Computational Imaging, 2008)

Determining canonical views of 3D object using minimum description length criterion and compressive sensing method. - Ping-Feng Chen; Hamid Krim (Computational Imaging, 2008)

Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function. - Djamila Aouada; David W. Dreisigmeyer; Hamid Krim (CVPR Workshops, 2008)

Probabilistic graph matching by canonical decomposition. - Haytham Yaghi; Hamid Krim (ICIP, 2008)

Edge detection and processing using shearlets. - Sheng Yi; Demetrio Labate; Glenn R. Easley; Hamid Krim (ICIP, 2008)

Classification of curves in 2D and 3D via affine integral signatures - Shuo Feng; Irina A. Kogan; Hamid Krim (CoRR, 2008)

Novel similarity invariant for space curves using turning angles and its application to object recognition. - Djamila Aouada; Hamid Krim (ICASSP, 2009)

Brain MRI T1-Map and T1-weighted image segmentation in a variational framework. - Ping-Feng Chen; R. Grant Steen; Anthony J. Yezzi; Hamid Krim (ICASSP, 2009)

Meaningful 3D shape partitioning using Morse functions. - Djamila Aouada; Hamid Krim (ICIP, 2009)

Capturing human activity by a curve. - Sheng Yi; Hamid Krim (ICIP, 2009)

Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration. - Ping-Feng Chen; R. Grant Steen; Anthony J. Yezzi; Hamid Krim (Int. J. Biomed. Imaging, 2009)

A Shearlet Approach to Edge Analysis and Detection. - Sheng Yi; Demetrio Labate; Glenn R. Easley; Hamid Krim (IEEE Trans. Image Process., 2009)

3D Surface Reconstruction Using Structured Circular Light Patterns. - Deokwoo Lee; Hamid Krim (ACIVS (1), 2010)

A novel approach to decompose a modulated broadband carrier. - Ang V. N. Che; Griff L. Bilbro; Hamid Krim; Mohamed El Badaoui; François Guillet (ICASSP, 2010)

3D face recognition based on evolution of iso-geodesic distance curves. - Shun Miao; Hamid Krim (ICASSP, 2010)

Mahalanobis-based Adaptive Nonlinear Dimension Reduction. - Djamila Aouada; Yuliy M. Baryshnikov; Hamid Krim (ICPR, 2010)

Divide and Conquer: Localizing Coverage Holes in Sensor Networks. - Harish Chintakunta; Hamid Krim (SECON, 2010)

Squigraphs for Fine and Compact Modeling of 3-D Shapes. - Djamila Aouada; Hamid Krim (IEEE Trans. Image Process., 2010)

Object Recognition Through Topo-Geometric Shape Models Using Error-Tolerant Subgraph Isomorphisms. - Sajjad Baloch; Hamid Krim (IEEE Trans. Image Process., 2010)

Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images. - Ping-Feng Chen; Hamid Krim; Olga L. Mendoza (IEEE Trans. Image Process., 2010)

Global Optimization by Adapted Diffusion. - Oleg V. Poliannikov; Elena A. Zhizhina; Hamid Krim (IEEE Trans. Signal Process., 2010)

Human Activity Modeling on Shape Manifold. - Sheng Yi; Hamid Krim; Larry K. Norris (3DOR@Eurographics, 2011)

Detection and tracking of systematic time-evolving failures in sensor networks. - Harish Chintakunta; Hamid Krim (CAMSAP, 2011)

A invertible dimension reduction of curves on a manifold. - Sheng Yi; Hamid Krim; Larry K. Norris (ICCV Workshops, 2011)

A Sampling Theorem for a 2D Surface. - Deokwoo Lee; Hamid Krim (SSVM, 2011)

Human Activity Modeling as Brownian Motion on Shape Manifold. - Sheng Yi; Hamid Krim; Larry K. Norris (SSVM, 2011)

Robustness and expression independence in 3D face recognition. - Shun Miao; Hamid Krim (SiPS, 2011)

Topological Fidelity in Sensor Networks - Harish Chintakunta; Hamid Krim (CoRR, 2011)

Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis. - Xiao Bian; Hamid Krim (ACCV (2), 2012)

System Identification: 3D Measurement Using Structured Light System. - Deokwoo Lee; Hamid Krim (ACIVS, 2012)

Statistical classification of social networks. - Tian Wang; Hamid Krim (ICASSP, 2012)

Human Activity as a Manifold-Valued Random Process. - Sheng Yi; Hamid Krim; Larry K. Norris (IEEE Trans. Image Process., 2012)

Control and prediction of beliefs on social network. - Tian Wang; Hamid Krim (CAMSAP, 2013)

Towards Minimal Barcodes. - Rocío González-Díaz; María José Jiménez 001; Hamid Krim (GbRPR, 2013)

A distributed collapse of a network's dimensionality. - Adam C. Wilkerson; Harish Chintakunta; Hamid Krim; Terrence J. Moore; Ananthram Swami (GlobalSIP, 2013)

Activity Video Analysis via Operator-Based Local Embedding. - Xiao Bian; Hamid Krim (GSI, 2013)

An information theoretic approach for speech source enumeration. - David Ayllón; Roberto Gil-Pita; Manuel Rosa-Zurera; Hamid Krim (ICASSP, 2013)

Simplifying the homology of networks via strong collapses. - Adam C. Wilkerson; Terrence J. Moore; Ananthram Swami; Hamid Krim (ICASSP, 2013)

Distributed computation of homology using harmonics. - Harish Chintakunta; Hamid Krim (CoRR, 2013)

Distributed boundary tracking using alpha and Delaunay-Cech shapes - Harish Chintakunta; Hamid Krim (CoRR, 2013)

A Generalized Markov Graph Model: Application to Social Network Analysis. - Tian Wang; Hamid Krim; Yannis Viniotis (IEEE J. Sel. Top. Signal Process., 2013)

Robust detection of periodic patterns in gene expression microarray data using topological signal analysis. - Saba Emrani; Hamid Krim (GlobalSIP, 2014)

Real time detection of harmonic structure: A case for topological signal analysis. - Saba Emrani; Harish Chintakunta; Hamid Krim (ICASSP, 2014)

Computing persistent features in big data: A distributed dimension reduction approach. - Adam C. Wilkerson; Harish Chintakunta; Hamid Krim (ICASSP, 2014)

Multi-level scene understanding via hierarchical classification. - Hamilton Scott Clouse; Xiao Bian; Thanos Gentimis; Hamid Krim (ICIP, 2014)

Robust Subspace Recovery via Dual Sparsity Pursuit. - Xiao Bian; Hamid Krim (CoRR, 2014)

Adaptive tracking of representative cycles in regular and zigzag persistent homology. - Jennifer Gamble; Harish Chintakunta; Hamid Krim (CoRR, 2014)

Persistent Homology of Delay Embeddings and its Application to Wheeze Detection. - Saba Emrani; Thanos Gentimis; Hamid Krim (IEEE Signal Process. Lett., 2014)

Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach. - Sheng Yi; Hamid Krim (IEEE Trans. Image Process., 2014)

Distributed Localization of Coverage Holes Using Topological Persistence. - Harish Chintakunta; Hamid Krim (IEEE Trans. Signal Process., 2014)

Analysis and Control of Beliefs in Social Networks. - Tian Wang; Hamid Krim; Yannis Viniotis (IEEE Trans. Signal Process., 2014)

Spectral estimation in highly transient data. - Saba Emrani; Hamid Krim (EUSIPCO, 2015)

Emergence of core-periphery structure from local node dominance in social networks. - Jennifer Gamble; Harish Chintakunta; Hamid Krim (EUSIPCO, 2015)

Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks. - David Ayllón; Roberto Gil-Pita; Manuel Rosa-Zurera; Hamid Krim (ICASSP, 2015)

Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. - Xiao Bian; Hamid Krim; Alex M. Bronstein; Liyi Dai (ICASSP, 2015)

On the detection of abandoned objects with a moving camera using robust subspace recovery and sparse representation. - Eric Jardim; Xiao Bian; Eduardo A. B. da Silva; Sergio L. Netto; Hamid Krim (ICASSP, 2015)

BI-sparsity pursuit for robust subspace recovery. - Xiao Bian; Hamid Krim (ICIP, 2015)

Abandoned object detection using operator-space pursuit. - Lucas A. Thomaz; Allan F. da Silva; Eduardo A. B. da Silva; Sergio L. Netto; Xiao Bian; Hamid Krim (ICIP, 2015)

Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks. - Jennifer Gamble; Harish Chintakunta; Adam C. Wilkerson; Hamid Krim; Ananthram Swami (CoRR, 2015)

An entropy-based persistence barcode. - Harish Chintakunta; Thanos Gentimis; Rocío González-Díaz; María José Jiménez 001; Hamid Krim (Pattern Recognit., 2015)

Coordinate-free quantification of coverage in dynamic sensor networks. - Jennifer Gamble; Harish Chintakunta; Hamid Krim (Signal Process., 2015)

A Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology. - Saba Emrani; T. Scott Saponas; Dan Morris 001; Hamid Krim (IEEE Signal Process. Lett., 2015)

Introduction to the special session on Topological Data Analysis, ICASSP 2016. - Harish Chintakunta; Michael Robinson 001; Hamid Krim (ICASSP, 2016)

A behavior-based evaluation of product quality. - Wei Liang; Han Wang 011; Hamid Krim (ICASSP, 2016)

Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation. - Xinyue Shen 002; Hamid Krim; Yuantao Gu (ICASSP, 2016)

Pansharpening via coupled triple factorization dictionary learning. - Erik Skau; Brendt Wohlberg; Hamid Krim; Liyi Dai (ICASSP, 2016)

Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric. - Sally Ghanem; Erik Skau; Hamid Krim; Hamilton Scott Clouse; Wesam A. Sakla (ICIP, 2016)

A topological collapse for document summarization. - Hui Guan 001; Wen Tang; Hamid Krim; James Keiser; Andrew J. Rindos; Radmila Sazdanovic (SPAWC, 2016)

Analysis dictionary learning for scene classification. - Wen Tang; Ives Rey-Otero; Hamid Krim; Liyi Dai (SSP, 2016)

Effective Connectivity-Based Neural Decoding: A Causal Interaction-Driven Approach. - Saba Emrani; Hamid Krim (CoRR, 2016)

Sparsity and Nullity: Paradigms for Analysis Dictionary Learning. - Xiao Bian; Hamid Krim; Alex M. Bronstein; Liyi Dai (SIAM J. Imaging Sci., 2016)

Discovering the Whole by the Coarse: A topological paradigm for data analysis. - Hamid Krim; Thanos Gentimis; Harish Chintakunta (IEEE Signal Process. Mag., 2016)

Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks. - Jennifer Gamble; Harish Chintakunta; Adam C. Wilkerson; Hamid Krim (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Information Diffusion of Topic Propagation in Social Media. - Shahin Mahdizadehaghdam; Han Wang 011; Hamid Krim; Liyi Dai (IEEE Trans. Signal Inf. Process. over Networks, 2016)

A model-free causality measure based on multi-variate delay embedding. - Saba Emrani; Hamid Krim (ICASSP, 2017)

Image classification: A hierarchical dictionary learning approach. - Shahin Mahdizadehaghdam; Liyi Dai; Hamid Krim; Erik Skau; Han Wang 011 (ICASSP, 2017)

Information diffusion in interconnected heterogeneous networks. - Shahin Mahdizadehaghdam; Han Wang 011; Hamid Krim; Liyi Dai (ICASSP, 2017)

Detection of abandoned objects using robust subspace recovery with intrinsic video alignment. - Lucas A. Thomaz; Allan F. da Silva; Eduardo A. B. da Silva; Sergio L. Netto; Hamid Krim (ISCAS, 2017)

Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing. - Hui Guan 001; Xipeng Shen; Hamid Krim (SC, 2017)

Sampling Density Criterion for Circular Structured Light 3D Imaging. - Deokwoo Lee; Hamid Krim (VISIGRAPP (6: VISAPP), 2017)

First Study on Data Readiness Level. - Hui Guan 001; Thanos Gentimis; Hamid Krim; James Keiser (CoRR, 2017)

AOGNets: Deep AND-OR Grammar Networks for Visual Recognition. - Xilai Li; Tianfu Wu 001; Xi Song; Hamid Krim (CoRR, 2017)

3D face recognition in the Fourier domain using deformed circular curves. - Deokwoo Lee; Hamid Krim (Multidimens. Syst. Signal Process., 2017)

Robust Subspace Clustering for Radar Detection. - Arnaud Breloy; Mohammed Nabil El Korso; Ashkan Panahi; Hamid Krim (EUSIPCO, 2018)

Information Subspace-Based Fusion for Vehicle Classification. - Sally Ghanem; Ashkan Panahi; Hamid Krim; Ryan A. Kerekes; John K. Mattingly (EUSIPCO, 2018)

Fusion of Community Structures in Multiplex Networks by Label Constraints. - Yuming Huang; Ashkan Panahi; Hamid Krim; Liyi Dai (EUSIPCO, 2018)

Decision Level Fusion: An Event Driven Approach. - Siddharth Roheda; Hamid Krim; Zhi-Quan Luo; Tianfu Wu 001 (EUSIPCO, 2018)

Demystifying Deep Learning: a Geometric Approach to Iterative Projections. - Ashkan Panahi; Hamid Krim; Liyi Dai (ICASSP, 2018)

Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks. - Siddharth Roheda; Benjamin S. Riggan; Hamid Krim; Liyi Dai (ICASSP, 2018)

Structured Analysis Dictionary Learning for Image Classification. - Wen Tang; Ashkan Panahi; Hamid Krim; Liyi Dai (ICASSP, 2018)

Reuse-Centric K-Means Configuration. - Hui Guan 001; Yufei Ding 001; Xipeng Shen; Hamid Krim (ICDE, 2018)

Video Tracking of Insect Flight Path: Towards Behavioral Assessment. - Yufang Bao; Hamid Krim (IPTA, 2018)

Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. - Ashkan Panahi; Xiao Bian; Hamid Krim; Liyi Dai (WACV, 2018)

Bi-sparsity pursuit: A paradigm for robust subspace recovery. - Xiao Bian; Ashkan Panahi; Hamid Krim (Signal Process., 2018)

Anomaly Detection in Moving-Camera Video Sequences Using Principal Subspace Analysis. - Lucas A. Thomaz; Eric Jardim; Allan F. da Silva; Eduardo A. B. da Silva; Sergio L. Netto; Hamid Krim (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media. - Han Wang 011; Erik Skau; Hamid Krim; Guido Cervone (IEEE Trans. Geosci. Remote. Sens., 2018)

Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic. - Sally Ghanem; Hamid Krim; Hamilton Scott Clouse; Wesam A. Sakla (IEEE Trans. Image Process., 2018)

Analysis Dictionary Learning: an Efficient and Discriminative Solution. - Wen Tang; Ashkan Panahi; Hamid Krim; Liyi Dai (ICASSP, 2019)

Nonlinear Multi-scale Super-resolution Using Deep Learning. - Kenneth Tran; Ashkan Panahi; Aniruddha Adiga; Wesam A. Sakla; Hamid Krim (ICASSP, 2019)

Sparse Generative Adversarial Network. - Shahin Mahdizadehaghdam; Ashkan Panahi; Hamid Krim (ICCV Workshops, 2019)

Commuting Conditional GANs for Robust Multi-Modal Fusion. - Siddharth Roheda; Hamid Krim; Benjamin S. Riggan (CoRR, 2019)

Joint Concept Matching based Learning for Zero-Shot Recognition. - Wen Tang; Ashkan Panahi; Hamid Krim (CoRR, 2019)

Deep Adversarial Belief Networks. - Yuming Huang; Ashkan Panahi; Hamid Krim; Yiyi Yu; Spencer L. Smith (CoRR, 2019)

Deep Dictionary Learning: A PARametric NETwork Approach. - Shahin Mahdizadehaghdam; Ashkan Panahi; Hamid Krim; Liyi Dai (IEEE Trans. Image Process., 2019)

Analysis Dictionary Learning Based Classification: Structure for Robustness. - Wen Tang; Ashkan Panahi; Hamid Krim; Liyi Dai (IEEE Trans. Image Process., 2019)

Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. - Siddharth Roheda; Hamid Krim (AAAI, 2020)

Commuting Conditional GANS for Multi-Modal Fusion. - Siddharth Roheda; Hamid Krim; Benjamin S. Riggan (ICASSP, 2020)

Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (CoRR, 2020)

Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests. - Wen Tang; Alireza Chakeri; Hamid Krim (CoRR, 2020)

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. - Sally Ghanem; Ashkan Panahi; Hamid Krim; Ryan A. Kerekes (CoRR, 2020)

Community Detection and Improved Detectability in Multiplex Networks. - Yuming Huang; Ashkan Panahi; Hamid Krim; Liyi Dai (IEEE Trans. Netw. Sci. Eng., 2020)

Dynamic Graph Learning Based on Graph Laplacian. - Bo Jiang; Yiyi Yu; Hamid Krim; Spencer L. Smith (ICASSP, 2021)

Deep Transform and Metric Learning Networks. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (ICASSP, 2021)

Generative Information Fusion. - Kenneth Tran; Wesam A. Sakla; Hamid Krim (ICASSP, 2021)

Reuse-centric k-means configuration. - Lijun Zhang 005; Hui Guan 001; Yufei Ding 001; Xipeng Shen; Hamid Krim (Inf. Syst., 2021)

Event driven sensor fusion. - Siddharth Roheda; Hamid Krim; Zhi-Quan Luo; Tianfu Wu 001 (Signal Process., 2021)

An Automatic Synthesizer of Advising Tools for High Performance Computing. - Hui Guan 001; Xipeng Shen; Hamid Krim (IEEE Trans. Parallel Distributed Syst., 2021)

Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles. - Priyanka Sinha; Hamid Krim; Ismail Güvenç (IEEECONF, 2022)

Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. - Bo Jiang; Hamid Krim; Tianfu Wu 001; Derya Cansever (ICIP, 2022)

Information Fusion: Scaling Subspace-Driven Approaches. - Sally Ghanem; Hamid Krim (CoRR, 2022)

Fast OT for Latent Domain Adaptation. - Siddharth Roheda; Ashkan Panahi; Hamid Krim (CoRR, 2022)

Deep transform and metric learning network: Wedding deep dictionary learning and neural network. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (Neurocomputing, 2022)

Discovering urban functional zones from biased and sparse points of interests and sparse human activities. - Wen Tang; Alireza Chakeri; Hamid Krim (Expert Syst. Appl., 2022)

Implicit Bayes Adaptation: A Collaborative Transport Approach. - Bo Jiang; Hamid Krim; Tianfu Wu 001; Derya Cansever (ICASSP, 2023)

Fast Optimal Transport for Latent Domain Adaptation. - Siddharth Roheda; Ashkan Panahi; Hamid Krim (ICIP, 2023)

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. - Arman Rahbar; Ashkan Panahi; Morteza Haghir Chehreghani; Devdatt P. Dubhashi; Hamid Krim (ICML, 2023)

Latent code-based fusion: A Volterra neural network approach. - Sally Ghanem; Siddharth Roheda; Hamid Krim (Intell. Syst. Appl., 2023)

Koopcon: A new approach towards smarter and less complex learning. - Vahid Jebraeeli; Bo Jiang; Derya Cansever; Hamid Krim (ICIP, 2024)

Expansive Synthesis: Generating Large-Scale Datasets from Minimal Samples. - Vahid Jebraeeli; Bo Jiang; Hamid Krim; Derya Cansever (CoRR, 2024)

Volterra Neural Networks (VNNs). - Siddharth Roheda; Hamid Krim; Bo Jiang (J. Mach. Learn. Res., 2024)

Generative Expansion of Small Datasets: An Expansive Graph Approach. - Vahid Jebraeeli; Bo Jiang; Hamid Krim; Derya Cansever (ICASSP, 2025)

Robustness Reprogramming for Representation Learning. - Zhichao Hou; MohamadAli Torkamani; Hamid Krim; Xiaorui Liu (ICLR, 2025)

Boosting Adversarial Robustness and Generalization with Structural Prior. - Zhichao Hou; Weizhi Gao; Hamid Krim; Xiaorui Liu (CoRR, 2025)