Hamid Krim

Roheda, S., Panahi, A., & Krim, H. (2023). FAST OPTIMAL TRANSPORT FOR LATENT DOMAIN ADAPTATION. 2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 1810–1814. https://doi.org/10.1109/ICIP49359.2023.10222535

Tang, W., Chouzenoux, E., Pesquet, J.-C., & Krim, H. (2022). Deep transform and metric learning network: Wedding deep dictionary learning and neural network. NEUROCOMPUTING, 509, 244–256. https://doi.org/10.1016/j.neucom.2022.08.069

Tang, W., Chakeri, A., & Krim, H. (2022). Discovering urban functional zones from biased and sparse points of interests and sparse human activities. EXPERT SYSTEMS WITH APPLICATIONS, 207. https://doi.org/10.1016/j.eswa.2022.118062

Sinha, P., Krim, H., & Guvenc, I. (2022). Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles. 2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, pp. 380–386. https://doi.org/10.1109/IEEECONF56349.2022.10052072

Jiang, B., Krim, H., Wu, T., & Cansever, D. (2022). REFINING SELF-SUPERVISED LEARNING IN IMAGING: BEYOND LINEAR METRIC. 2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 76–80. https://doi.org/10.1109/ICIP46576.2022.9897745

Tran, K., Sakla, W., & Krim, H. (2022). SAR Self-Enhanced by Electro-optical Network (SARSEEN). SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXXI, Vol. 12122. https://doi.org/10.1117/12.2618829

Guan, H., Shen, X., & Krim, H. (2021). An Automatic Synthesizer of Advising Tools for High Performance Computing. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 32(2), 330–341. https://doi.org/10.1109/TPDS.2020.3018636

Asthana, T., Krim, H., Sun, X., Roheda, S., & Xie, L. (2021). Atlantic Hurricane Activity Prediction: A Machine Learning Approach. ATMOSPHERE, 12(4). https://doi.org/10.3390/atmos12040455

Tang, W., Chouzenoux, E., Pesquet, J.-C., & Krim, H. (2021). DEEP TRANSFORM AND METRIC LEARNING NETWORKS. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), pp. 2735–2739. https://doi.org/10.1109/ICASSP39728.2021.9414990

Jiang, B., Yu, Y., Krim, H., & Smith, S. L. (2021). DYNAMIC GRAPH LEARNING BASED ON GRAPH LAPLACIAN. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), pp. 1090–1094. https://doi.org/10.1109/ICASSP39728.2021.9413744

Jiang, B., Huang, Y., Panahi, A., Yu, Y., Krim, H., & Smith, S. L. (2021). Dynamic Graph Learning: A Structure-Driven Approach. MATHEMATICS, 9(2). https://doi.org/10.3390/math9020168

Roheda, S., Krim, H., Luo, Z.-Q., & Wu, T. (2021). Event driven sensor fusion. SIGNAL PROCESSING, 188. https://doi.org/10.1016/j.sigpro.2021.108241

Tran, K., Sakla, W., & Krim, H. (2021). GENERATIVE INFORMATION FUSION. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), pp. 3990–3994. https://doi.org/10.1109/ICASSP39728.2021.9414284

Jaffard, S., & Krim, H. (2021). Regularity properties of Haar Frames. COMPTES RENDUS MATHEMATIQUE, 359(9), 1107–1117. https://doi.org/10.5802/crmath.228

Zhang, L., Guan, H., Ding, Y., Shen, X., & Krim, H. (2021). Reuse-centric k-means configuration. INFORMATION SYSTEMS, 100. https://doi.org/10.1016/j.is.2021.101787

Roheda, S., Krim, H., & Riggan, B. S. (2021). Robust Multi-Modal Sensor Fusion: An Adversarial Approach. IEEE SENSORS JOURNAL, 21(2), 1885–1896. https://doi.org/10.1109/JSEN.2020.3018698

Huang, Y., Panahi, A., Krim, H., & Dai, L. (2020). Community Detection and Improved Detectability in Multiplex Networks. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 7(3), 1697–1709. https://doi.org/10.1109/TNSE.2019.2949036

Ghanem, S., Panahi, A., Krim, H., & Kerekes, R. A. (2020). Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. IEEE SENSORS JOURNAL, 20(20), 12307–12316. https://doi.org/10.1109/JSEN.2020.2999461

Mahdizadehaghdam, S., Panahi, A., Krim, H., & Dai, L. (2019). Deep Dictionary Learning: A PARametric NETwork Approach. IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(10), 4790–4802. https://doi.org/10.1109/TIP.2019.2914376

Mahdizadehaghdam, S., Panahi, A., & Krim, H. (2019). Sparse Generative Adversarial Network. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), pp. 3063–3071. https://doi.org/10.1109/ICCVW.2019.00369

Thomaz, L. A., Jardim, E., Silva, A. F., Silva, E. A. B., Netto, S. L., & Krim, H. (2018, March). Anomaly Detection in Moving-Camera Video Sequences Using Principal Subspace Analysis. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, Vol. 65, pp. 1003–1015. https://doi.org/10.1109/tcsi.2017.2758379

Bian, X., Panahi, A., & Krim, H. (2018). Bi-sparsity pursuit: A paradigm for robust subspace recovery. Signal Processing, 152, 148–159. https://doi.org/10.1016/J.SIGPRO.2018.05.024

Wang, H., Skau, E., Krim, H., & Cervone, G. (2018). Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 56(12), 6956–6968. https://doi.org/10.1109/TGRS.2018.2846199

Ghanem, S., Krim, H., Clouse, H. S., & Sakla, W. (2018). Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic. IEEE TRANSACTIONS ON IMAGE PROCESSING, 27(12), 5947–5956. https://doi.org/10.1109/TIP.2018.2862352

Guan, H., Ding, Y., Shen, X., & Krim, H. (2018). Reuse-Centric K-Means Configuration. 2018 IEEE 34TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), pp. 1224–1227. https://doi.org/10.1109/ICDE.2018.00116

Panahi, A., Bian, X., Krim, L., & Dai, L. (2018). Robust Subspace Clustering by Bi-sparsity Pursuit: Guarantees and Sequential Algorithm. 2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018), pp. 1302–1311. https://doi.org/10.1109/wacv.2018.00147

Lee, D., & Krim, H. (2017). 3D face recognition in the Fourier domain using deformed circular curves. Multidimensional Systems and Signal Processing, 28(1), 105–127. https://doi.org/10.1007/S11045-015-0334-7

Thomaz, L. A., Silva, A. F., Silva, E. A. B., Netto, S. L., & Krim, H. (2017). Detection of abandoned objects using robust subspace recovery with intrinsic video alignment. 2017 ieee international symposium on circuits and systems (iscas), 599–602. https://doi.org/10.1109/iscas.2017.8050385

Lee, D., & Krim, H. (2017). Determination of a Sampling Criterion for 3D Reconstruction. JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 61(4). https://doi.org/10.2352/j.imagingsci.technol.2017.61.4.040501

Lee, D., & Krim, H. (2017). Sampling Density Criterion for Circular Structured Light 3D Imaging. PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 6, pp. 478–483. https://doi.org/10.5220/0006147504780483

Lee, D., & Krim, H. (2017). System input-output theoretic three-dimensional measurement based on circular-shaped structured light patterns. OPTICAL ENGINEERING, 56(7). https://doi.org/10.1117/1.oe.56.7.073104

Liang, W., Wang, H., & Krirn, H. (2016). A behavior-based evaluation of product quality. International conference on acoustics speech and signal processing, 1916–1920. https://doi.org/10.1109/icassp.2016.7472010

Guan, H., Tang, W., Krim, H., Keiser, J., Rindos, A., & Sazdanovic, R. (2016). A topological collapse for document summarization. 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016-August. https://doi.org/10.1109/spawc.2016.7536867

Tang, W., Otero, I. R., Krim, H., & Dai, L. Y. (2016). Analysis dictionary learning for scene classification. 2016 IEEE Statistical Signal Processing Workshop (SSP). https://doi.org/10.1109/ssp.2016.7551849

Shen, X. Y., Krim, H., & Gu, Y. T. (2016). Beyond union of subspaces: Subspace pursuit on grassmann manifold for data representation. International conference on acoustics speech and signal processing, 4079–4083. https://doi.org/10.1109/icassp.2016.7472444

Krim, H., Gentimis, T., & Chintakunta, H. (2016). DISCOVERING THE WHOLE BY THE COARSE A topological paradigm for data analysis. IEEE SIGNAL PROCESSING MAGAZINE, 33(2), 95–104. https://doi.org/10.1109/msp.2015.2510703

Steenbock, T., Shultz, D. A., Kirk, M. L., & Herrmann, C. (2016). Influence of Radical Bridges on Electron Spin Coupling. The Journal of Physical Chemistry A, 121(1), 216–225. https://doi.org/10.1021/acs.jpca.6b07270

Mahdizadehaghdam, S., Wang, H., Krim, H., & Dai, L. (2016). Information Diffusion of Topic Propagation in Social Media. IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2(4), 569–581. https://doi.org/10.1109/tsipn.2016.2618324

Chintakunta, H., Robinson, M., & Krim, H. (2016). Introduction to the special session on topological data Analysis, ICASSP 2016. International conference on acoustics speech and signal processing, 6410–6414. https://doi.org/10.1109/icassp.2016.7472911

Gamble, J., Chintakunta, H., Wilkerson, A., & Krim, H. (2016). Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks. IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2(2), 186–199. https://doi.org/10.1109/tsipn.2016.2527923

Ghanem, S., Skau, E., Krim, H., Clouse, H. S., & Sakla, W. (2016). Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric. 2016 ieee international conference on image processing (icip), 1364–1368. https://doi.org/10.1109/icip.2016.7532581

Skau, E., Wohlberg, B., Krim, H., & Dai, L. Y. (2016). Pansharpening via coupled triple factorization dictionary learning. International conference on acoustics speech and signal processing, 1234–1237. https://doi.org/10.1109/icassp.2016.7471873

Bian, X., Krim, H., Bronstein, A., & Dai, L. (2016). Sparsity and Nullity: Paradigms for Analysis Dictionary Learning. SIAM JOURNAL ON IMAGING SCIENCES, 9(3), 1107–1126. https://doi.org/10.1137/15m1030376

Emrani, S., Saponas, T. S., Morris, D., & Krim, H. (2015). A Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology. IEEE SIGNAL PROCESSING LETTERS, 22(11). https://doi.org/10.1109/lsp.2015.2441068

Chintakunta, H., Gentimis, T., Gonzalez-Diaz, R., Jimenez, M.-J., & Krim, H. (2015). An entropy-based persistence barcode. Pattern Recognition, 48(2), 391–401. https://doi.org/10.1016/J.PATCOG.2014.06.023

Bian, X., & Krim, H. (2015). Bi-sparsity pursuit for robust subspace recovery. 2015 ieee international conference on image processing (icip), 3535–3539. https://doi.org/10.1109/icip.2015.7351462

Gamble, J., Chintakunta, H., & Krim, H. (2015). Coordinate-free quantification of coverage in dynamic sensor networks. SIGNAL PROCESSING, 114, 1–18. https://doi.org/10.1016/j.sigpro.2015.02.013

Gamble, J., Chintakunta, H., & Krim, H. (2015). Emergence of core-periphery structure from local node dominance in social networks. 2015 23rd european signal processing conference (eusipco), 1910–1914. https://doi.org/10.1109/eusipco.2015.7362716

Krim, H., & Hamza, A. B. (2015). Geometric methods in signal and image analysis. https://doi.org/10.1017/cbo9781139523967

Jardim, E., Bian, X., Silva, E. A. B., Netto, S. L., & Krim, H. (2015). On the detection of abandoned objects with a moving camera using robust subspace recovery and sparse representation. International conference on acoustics speech and signal processing, 1295–1299. https://doi.org/10.1109/icassp.2015.7178179

Ayllon, D., Gil-Pita, R., Rosa-Zurera, M., & Krim, H. (2015). Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks. International conference on acoustics speech and signal processing, 2709–2713. https://doi.org/10.1109/icassp.2015.7178463

Bian, X., Krim, H., Bronstein, A., & Dai, L. Y. (2015). Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. International conference on acoustics speech and signal processing, 3781–3785. https://doi.org/10.1109/icassp.2015.7178678

Emrani, S., & Krim, H. (2015). Spectral estimation in highly transient data. 2015 23rd european signal processing conference (eusipco), 1721–1725. https://doi.org/10.1109/eusipco.2015.7362678

Wang, T., Krim, H., & Viniotis, Y. (2014). Analysis and Control of Beliefs in Social Networks. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 62(21), 5552–5564. https://doi.org/10.1109/tsp.2014.2352591

Wilkerson, A. C., Chintakunta, H., & Krim, H. (2014). Computing persistent features in big data: A distributed dimension reduction approach. International conference on acoustics speech and signal processing. https://doi.org/10.1109/icassp.2014.6853548

Chintakunta, H., & Krim, H. (2014). Distributed Localization of Coverage Holes Using Topological Persistence. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 62(10), 2531–2541. https://doi.org/10.1109/tsp.2014.2314063

Emrani, S., Gentimis, T., & Krim, H. (2014). Persistent Homology of Delay Embeddings and its Application to Wheeze Detection. IEEE SIGNAL PROCESSING LETTERS, 21(4), 459–463. https://doi.org/10.1109/lsp.2014.2305700

Emrani, S., Chintakunta, H., & Krim, H. (2014). Real time detection of harmonic structure: A case for topological signal analysis. International conference on acoustics speech and signal processing. https://doi.org/10.1109/icassp.2014.6854240

Yi, S., & Krim, H. (2014). Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach. IEEE TRANSACTIONS ON IMAGE PROCESSING, 23(11), 4907–4919. https://doi.org/10.1109/tip.2014.2358200

Wang, T., Krim, H., & Viniotis, Y. (2013). A Generalized Markov Graph Model: Application to Social Network Analysis. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 7(2), 318–332. https://doi.org/10.1109/jstsp.2013.2246767

Yi, S., & Krim, H. (2013). A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach. In Lecture Notes in Computer Science (pp. 84–91). https://doi.org/10.1007/978-3-642-40020-9_8

Bian, X., & Krim, H. (2013). Activity Video Analysis via Operator-Based Local Embedding. In Lecture Notes in Computer Science (pp. 845–852). https://doi.org/10.1007/978-3-642-40020-9_95

Bian, X., & Krim, H. (2013). Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis. In Computer Vision – ACCV 2012 (pp. 760–769). https://doi.org/10.1007/978-3-642-37444-9_59

Wilkerson, A. C., Moore, T. J., Swami, A., & Krim, H. (2013). Simplifying the homology of networks via strong collapses. International conference on acoustics speech and signal processing, 5258–5262. https://doi.org/10.1109/icassp.2013.6638666

González-Díaz, R., Jiménez, M.-J., & Krim, H. (2013). Towards Minimal Barcodes. In Graph-Based Representations in Pattern Recognition (pp. 184–193). https://doi.org/10.1007/978-3-642-38221-5_20

Emrani, S., & Krim, H. (2013). Wheeze detection and location using spectro-temporal analysis of lung sounds. 29TH SOUTHERN BIOMEDICAL ENGINEERING CONFERENCE (SBEC 2013), pp. 37–38. https://doi.org/10.1109/sbec.2013.27

Lee, D., & Krim, H. (2012). A sampling theorem for a 2D surface. Scale space and variational methods in computer vision, 6667, 556–567. https://doi.org/10.1007/978-3-642-24785-9_47

Yi, S., Krim, H., & Norris, L. K. (2012). Human Activity as a Manifold-Valued Random Process. IEEE TRANSACTIONS ON IMAGE PROCESSING, 21(8), 3416–3428. https://doi.org/10.1109/tip.2012.2197008

Yi, S., Krim, H., & Norris, L. K. (2012). Human activity modeling as Brownian motion on shape manifold. Scale space and variational methods in computer vision, 6667, 628–639. https://doi.org/10.1007/978-3-642-24785-9_53

Lee, D., & Krim, H. (2012). System Identification: 3D Measurement Using Structured Light System. In Advanced Concepts for Intelligent Vision Systems (pp. 1–11). https://doi.org/10.1007/978-3-642-33140-4_1

Clouse, H. S., Krim, H., & Mendoza-Schrock, O. (2011). A Scaled, Performance Driven Evaluation of the Layered Sensing Framework Utilizing Polarimetric Infrared Imagery. EVOLUTIONARY AND BIO-INSPIRED COMPUTATION: THEORY AND APPLICATIONS V, Vol. 8059. https://doi.org/10.1117/12.886510

Yi, S., Krim, H., & Norris, L. K. (2011). A invertible dimension reduction of curves on a manifold. 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). https://doi.org/10.1109/iccvw.2011.6130412

Miao, S., & Krim, H. (2011). Robustness and expression independence in 3D face recognition. 2011 ieee workshop on signal processing systems (sips), 289–292. https://doi.org/10.1109/sips.2011.6088991

Clouse, H. S., Krim, H., Sakla, W., & Mendoza-Schrock, O. (2011). Vehicle Tracking Through the Exploitation of Remote Sensing and LWIR Polarization Science. POLARIZATION SCIENCE AND REMOTE SENSING V, Vol. 8160. https://doi.org/10.1117/12.901556

Miao, S., & Krim, H. (2010). 3D FACE RECOGNITION BASED ON EVOLUTION OF ISO-GEODESIC DISTANCE CURVES. 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, pp. 1134–1137. https://doi.org/10.1109/icassp.2010.5495363

Lee, D., & Krim, H. (2010). 3D surface reconstruction using structured circular light patterns. Advanced concepts for intelligent vision systems, pt i, 6474, 279–289. https://doi.org/10.1007/978-3-642-17688-3_27

Feng, S., Kogan, I., & Krim, H. (2010). Classification of Curves in 2D and 3D via Affine Integral Signatures. ACTA APPLICANDAE MATHEMATICAE, 109(3), 903–937. https://doi.org/10.1007/s10440-008-9353-9

Yang, Z., Lichtenwalner, D., Morris, A., Krim, J., & Kingon, A. I. (2010). Contact degradation in hot/cold operation of direct contact micro-switches. Journal of Micromechanics and Microengineering, 20(10), 105028. https://doi.org/10.1088/0960-1317/20/10/105028

Poliannikov, O. V., Zhizhina, E., & Krim, H. (2010). Global optimization by adapted diffusion. IEEE Transactions on Signal Processing, 58(12), 6119–6125. https://doi.org/10.1109/tsp.2010.2071867

Chen, P.-F., Krim, H., & Mendoza, O. L. (2010). Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images. IEEE TRANSACTIONS ON IMAGE PROCESSING, 19(7), 1706–1719. https://doi.org/10.1109/tip.2010.2045164

Baloch, S., & Krim, H. (2010). Object Recognition Through Topo-Geometric Shape Models Using Error-Tolerant Subgraph Isomorphisms. IEEE TRANSACTIONS ON IMAGE PROCESSING, 19(5), 1191–1200. https://doi.org/10.1109/tip.2009.2039372

Aouada, D., & Krim, H. (2010). Squigraphs for Fine and Compact Modeling of 3-D Shapes. IEEE TRANSACTIONS ON IMAGE PROCESSING, 19(2), 306–321. https://doi.org/10.1109/TIP.2009.2034693

Yi, S., Labate, D., Easley, G. R., & Krim, H. (2009). A Shearlet Approach to Edge Analysis and Detection. IEEE TRANSACTIONS ON IMAGE PROCESSING, 18(5), 929–941. https://doi.org/10.1109/TIP.2009.2013082

Aouada, D., & Krim, H. (2009). NOVEL SIMILARITY INVARIANT FOR SPACE CURVES USING TURNING ANGLES AND ITS APPLICATION TO OBJECT RECOGNITION. 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, pp. 1277–1280. https://doi.org/10.1109/icassp.2009.4959824

Chen, P. F., Steen, R. G., Yezzi, A., & Krim, H. (2009). brain MRi T-1-map and T-1-weighted image segmentation in a variational framework. International conference on acoustics speech and signal processing, 417–420. https://doi.org/10.1109/icassp.2009.4959609

El Ouafdi, A. F., Ziou, D., & Krim, H. (2008, July). A smart stochastic approach for manifolds smoothing. COMPUTER GRAPHICS FORUM, Vol. 27, pp. 1357–1364. https://doi.org/10.1111/j.1467-8659.2008.01275.x

Aouada, D., Dreisigmeyer, D. W., & Krim, H. (2008). Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function. Pattern Recognition, 935–942. https://doi.org/10.1109/cvprw.2008.4563075

Wu, Y., An, H., Krim, H., & Lin, W. (2007). An independent component analysis approach for minimizing effects of recirculation in dynamic susceptibility contrast magnetic resonance imaging. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 27(3), 632–645. https://doi.org/10.1038/sj.jcbfm.9600374

Baloch, S. H., & Krim, H. (2007). Flexible skew-symmetric shape model for shape representation, classification, and sampling. IEEE TRANSACTIONS ON IMAGE PROCESSING, 16(2), 317–328. https://doi.org/10.1109/TIP.2006.888348

Ben Hamza, A., & Krim, H. (2006). Geodesic matching of triangulated surfaces. IEEE TRANSACTIONS ON IMAGE PROCESSING, 15(8), 2249–2258. https://doi.org/10.1109/TIP.2006.875250

Statistics and analysis of shapes. (2006). https://doi.org/10.1007/0-8176-4481-4

Ben Hamza, A., He, Y., Krim, H., & Willsky, A. (2005). A  multiscale approach to pixel-level image fusion. Integrated Computer-Aided Engineering, 12(2), 135–146. https://doi.org/10.3233/ica-2005-12201

Unal, G., Krim, H., & Yezzi, A. (2005). Fast incorporation of optical flow into active polygons. IEEE TRANSACTIONS ON IMAGE PROCESSING, 14(6), 745–759. https://doi.org/10.1109/TIP.2005.847286

Poliannikov, O. V., & Krim, H. (2005). Identification of a discrete planar symmetric shape from a single noisy view. IEEE TRANSACTIONS ON IMAGE PROCESSING, 14(12), 2051–2059. https://doi.org/10.1109/TIP.2005.859387

Unal, G., Yezzi, A., & Krim, H. (2005). Information-theoretic active polygons for unsupervised texture segmentation. INTERNATIONAL JOURNAL OF COMPUTER VISION, 62(3), 199–220. https://doi.org/10.1007/s11263-005-4880-6

Wu, Y., An, H., Krim, H., Vo, K., Lee, J.-M., & Lin, W. (2005). Intracranial vascular transfer function in acute stroke patients. Journal of Cerebral Blood Flow & Metabolism, 25(1_suppl), S394–S394. https://doi.org/10.1038/sj.jcbfm.9591524.0394

Ben Hamza, A., Krim, H., & Zerubia, J. (2004). A nonlinear entropic variational model for image filtering. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2004(16), 2408–2422. https://doi.org/10.1155/S1110865704407197

Krim, J., Abdelmaksoud, M., Borovsky, B., & Winder, S. M. (2004). Scanning tunneling microscope-quartz crystal microbalance studies of "real world" and model lubricants. In Dynamics and friction of submicrometer confining systems (Vol. 882). https://doi.org/10.1021/bk-2004-0882.ch001

Baloch, S. H., Krim, H., & Genton, M. G. (2004). Shape representation with flexible skew-symmetric distributions. In Skew-elliptical distibutions and their applications: A journey beyond normality. https://doi.org/10.1201/9780203492000.ch17

Bao, Y. F., & Krim, H. (2004). Smart nonlinear diffusion: A probabilistic approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(1), 63–72. https://doi.org/10.1109/TPAMI.2004.1261079

He, Y., Hamza, A. B., & Krim, H. (2003). A generalized divergence measure for robust image registration. IEEE Transactions on Signal Processing, 51(5), 1211–1220. https://doi.org/10.1109/TSP.2003.810305

Benazza-Benyahia, A., Pesquet, J. C., & Krim, H. (2003). A nonlinear diffusion-based three-band filter bank. IEEE SIGNAL PROCESSING LETTERS, 10(12), 360–363. https://doi.org/10.1109/LSP.2003.818864

Karacali, B., & Krim, H. (2003). Fast minimization of structural risk by nearest neighbor rule. IEEE TRANSACTIONS ON NEURAL NETWORKS, 14(1), 127–137. https://doi.org/10.1109/TNN.2002.804315

Ben Hamza, A., & Krim, H. (2003). Geodesic object representation and recognition. In B. Hamza & H. Krim (Eds.), Discrete geometry for computer imagery: 11th International Conference, DGCI 2003, Naples, Italy, November 19-21, 2003 (Vol. 2886, pp. 378–387). https://doi.org/10.1007/978-3-540-39966-7_36

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Hero, A. O., & Krim, H. (2002, September). Mathematical methods in imaging. IEEE SIGNAL PROCESSING MAGAZINE, Vol. 19, pp. 13–14. https://doi.org/10.1109/MSP.2002.1028348

He, Y., & Krim, H. (2002). Multiscale signal enhancement: Beyond the normality and independence assumption. IEEE TRANSACTIONS ON IMAGE PROCESSING, 11(4), 423–433. https://doi.org/10.1109/TIP.2002.999676

Unal, G., Krim, H., & Yezzi, A. (2002). Stochastic differential equations and geometric flows. IEEE TRANSACTIONS ON IMAGE PROCESSING, 11(12), 1405–1416. https://doi.org/10.1109/TIP.2002.804568

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Ben Hamza, A., & Krim, H. (2001). Image denoising: A nonlinear robust statistical approach. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 49(12), 3045–3054. https://doi.org/10.1109/78.969512

Pollak, I., Willsky, A. S., & Krim, H. (2000). Image segmentation and edge enhancement with stabilized inverse diffusion equations. IEEE TRANSACTIONS ON IMAGE PROCESSING, 9(2), 256–266. https://doi.org/10.1109/83.821738

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