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NCSU Scholarly Publications Repository (Search Again)

A growing collection of publications and full text of scholarly works by NC State faculty members, graduate students, and research staff.

Number of Publications: 85
Krim, Hamid


Articles
Thomaz, L. A., Jardim, E., da Silva, A. F., da Silva, E. A. B., Netto, S. L., & Krim, H. (2018). Anomaly detection in moving-camera video sequences using principal subspace analysis. IEEE Transactions on Circuits and Systems. I, Regular Papers, 65(3), 1003-1015.

Lee, D., & Krim, H. (2017). Determination of a sampling criterion for 3D reconstruction. Journal of Imaging Science and Technology, 61(4).

Lee, D., & Krim, H. (2017). Determination of a sampling criterion for 3D reconstruction. Journal of Imaging Science and Technology, 61(4).

Steenbock, T., Shultz, D. A., Kirk, M. L., & Herrmann, C. (2017). Influence of radical bridges on electron spin coupling. Journal of Physical Chemistry. A, Molecules, Spectroscopy, Kinetics, Environment & General Theory, 121(1), 216-225.

Lee, D., & Krim, H. (2017). System input-output theoretic three-dimensional measurement based on circular-shaped structured light patterns. Optical Engineering, 56(7).

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.

Mahdizadehaghdam, S., Wang, H., Krim, H., & Dai, L. Y. (2016). Information diffusion of topic propagation in social media. IEEE Transactions on Signal and Information Processing Over Networks, 2(4), 569-581.

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.

Bian, X., Krim, H., Bronstein, A., & Dai, L. Y. (2016). Sparsity and nullity: Paradigms for analysis dictionary learning. Siam Journal on Imaging Sciences, 9(3), 1107-1126.

Gamble, J., Chintakunta, H., & Krim, H. (2015). Coordinate-free quantification of coverage in dynamic sensor networks. Signal Processing, 114, 1-18.

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).

Wang, T., Krim, H., & Viniotis, Y. (2014). Analysis and control of beliefs in social networks. IEEE Transactions on Signal Processing, 62(21), 5552-5564.

Chintakunta, H., & Krim, H. (2014). Distributed localization of coverage holes using topological persistence. IEEE Transactions on Signal Processing, 62(10), 2531-2541.

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.

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.

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.

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.

Feng, S. O., Kogan, I., & Krim, H. (2010). Classification of curves in 2D and 3D via affine integral signatures. Acta Applicandae Mathematicae, 109(3), 903-937.

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).

Poliannikov, O. V., Zhizhina, E., & Krim, H. (2010). Global optimization by adapted diffusion. IEEE Transactions on Signal Processing, 58(12), 6119-6125.

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.

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.

Aouada, D., & Krim, H. (2010). Squigraphs for fine and compact modeling of 3-D shapes. IEEE Transactions on Image Processing, 19(2), 306-321.

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.

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.

El Ouafdi, A. F., Ziou, D., & Krim, H. (2008). A smart stochastic approach for manifolds smoothing. Computer Graphics Forum, 27(5), 1357-1364.

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.

Ben Hamza, A., & Krim, H. (2006). Geodesic matching of triangulated surfaces. IEEE Transactions on Image Processing, 15(8), 2249-2258.

Unal, G., Krim, H., & Yezzi, A. (2005). Fast incorporation of optical flow into active polygons. IEEE Transactions on Image Processing, 14(6), 745-759.

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.

Unal, G., Yezzi, A., & Krim, H. (2005). Information-theoretic active polygons for unsupervised texture segmentation. International Journal of Computer Vision, 62(3), 199-220.

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.

Bao, Y. F., & Krim, H. (2004). Smart nonlinear diffusion: A probabilistic approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(1), 63-72.

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.

Karacali, B., & Krim, H. (2003). Fast minimization of structural risk by nearest neighbor rule. IEEE Transactions on Neural Networks, 14(1), 127-137.

Zhang, J., Zhang, X., Krim, H., & Walter, G. G. (2003). Object representation and recognition in shape spaces. Pattern Recognition, 36(5), 1143-1154.

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.

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.

Hero, A. O., & Krim, H. (2002). Mathematical methods in imaging. IEEE Signal Processing Magazine, 19(5), 13-14.

He, Y., & Krim, H. (2002). Multiscale signal enhancement: Beyond the normality and independence assumption. IEEE Transactions on Image Processing, 11(4), 423-433.

Unal, G., Krim, H., & Yezzi, A. (2002). Stochastic differential equations and geometric flows. IEEE Transactions on Image Processing, 11(12), 1405-1416.

Hamza, A. B., Krim, H., & Unal, G. B. (2002). Unifying probabilistic and variational estimation. IEEE Signal Processing Magazine, 19(5), 37-47.

Ben Hamza, A., & Krim, H. (2001). Image denoising: A nonlinear robust statistical approach. IEEE Transactions on Signal Processing, 49(12), 3045-3054.

Ben Hamza, A., & Krim, H. (2001). A variational approach to maximum a posteriori estimation for image denoising. Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, 2134, 19-33.

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.

Krim, H., & Schick, I. C. (1999). Minimax description length for signal denoising and optimized representation. IEEE Transactions on Information Theory, 45(3), 898-908.

Krim, H., Willinger, W., Juditski, A., & Tse, D. N. C. (1999). Multiscale statistical signal analysis and its applications - Introduction. IEEE Transactions on Information Theory, 45(3), 825-827.

Krim, H., Tucker, D., Mallat, S., & Donoho, D. (1999). On denoising and best signal representation. IEEE Transactions on Information Theory, 45(7), 2225-2238.

Chen, T. H., Hero, A., Djuric, P. M., Messer, H., Goldberg, J., Thomson, D. J., Amin, M. G., Krim, H., Pesquet, J. C., Giannakis, G., Swami, A., Tugnait, J. K., Cardoso, J. F., Tong, L., & Krolik, J. (1998). Highlights of statistical signal and array processing. IEEE Signal Processing Magazine, 15(5), 21-64.

Books
Krim, H., & Hamza, A. B. (2015). Geometric methods in signal and image analysis. Cambridge, United Kingdom: Cambridge University Press.

Krim, H., & Yezzi, A. (Eds.). (2006). Statistics and analysis of shapes. Boston: Birkhauser.

Chapters
Krim, J., Abdelmaksoud, M., Borovsky, B., & Winder, S. M. (2004). Scanning tunneling microscope-quartz crystal microbalance studies of "real world" and model lubricants. In Y. Braiman ... et al. (Eds.), Dynamics and friction of submicrometer confining systems. (ACS Symposium Series, 882) Washington, D.C.: American Chemical Society.

Baloch, S. H., Krim, H., & Genton, M. G. (2004). Shape representation with flexible skew-symmetric distributions. In M. G. Genton (Ed.), Skew-elliptical distibutions and their applications: A journey beyond normality. Boca Raton, FL: Chapman & Hall/CRC.

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. (Lecture Notes in Computer Science, 2886) (pp. 378-387). Berlin; New York: Springer.

Ben Hamza, A., & Krim, H. (2003). Image registration and segmentation by maximizing the Jensen-Renyi divergence. In A. Rangarajan, M. Figueiredo, & J. Zerubia (Eds.), Energy minimization methods in computer vision and pattern recognition. (Lecture Notes in Computer Science, 2683) (pp. 147-163). Berlin; New York: Springer.

Poliannikov, O. V., Bao, Y., & Krim, H. (1999). Levy processes for image modeling. In Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, June 14-16, 1999, Caesarea, Israel. (pp. 233-236). Los Alamitos, CA: IEEE Computer Society.

Conference Papers
Panahi, A., Bian, X., Krim, L., & Dai, L. Y. (2018). Robust subspace clustering by bi-sparsity pursuit: Guarantees and sequential algorithm. In 2018 ieee winter conference on applications of computer vision (wacv 2018). (IEEE Winter Conference on Applications of Computer Vision, ) (pp. 1302-1311).

Thomaz, L. A., da Silva, A. F., da Silva, E. A. B., Netto, S. L., & Krim, H. (2017). Detection of abandoned objects using robust subspace recovery with intrinsic video alignment. In 2017 ieee international symposium on circuits and systems (iscas). (IEEE International Symposium on Circuits and Systems, ) (pp. 599-602).

Tang, W., Otero, I. R., Krim, H., & Dai, L. Y. (2016). Analysis dictionary learning for scene classification. (2016 IEEE Statistical Signal Processing Workshop (SSP), ).

Shen, X. Y., Krim, H., & Gu, Y. T. (2016). Beyond union of subspaces: Subspace pursuit on grassmann manifold for data representation. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 4079-4083).

Chintakunta, H., Robinson, M., & Krim, H. (2016). Introduction to the special session on topological data Analysis, ICASSP 2016. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 6410-6414).

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. In 2016 ieee international conference on image processing (icip). (IEEE International Conference on Image Processing ICIP, ) (pp. 1364-1368).

Skau, E., Wohlberg, B., Krim, H., & Dai, L. Y. (2016). Pansharpening via coupled triple factorization dictionary learning. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 1234-1237).

Liang, W., Wang, H., & Krirn, H. (2016). A behavior-based evaluation of product quality. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 1916-1920).

Guan, H., Tang, W., Krim, H., Keiser, J., Rindos, A., & Sazdanovic, R. (2016). A topological collapse for document summarization. In Ieee international workshop on signal processing advances in wireless. (Communications, ).

Bian, X., & Krim, H. (2015). Bi-sparsity pursuit for robust subspace recovery. In 2015 ieee international conference on image processing (icip). (IEEE International Conference on Image Processing ICIP, ) (pp. 3535-3539).

Gamble, J., Chintakunta, H., & Krim, H. (2015). Emergence of core-periphery structure from local node dominance in social networks. In 2015 23rd european signal processing conference (eusipco). (European Signal Processing Conference, ) (pp. 1910-1914).

Jardim, E., Bian, X., da 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. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 1295-1299).

Ayllon, D., Gil-Pita, R., Rosa-Zurera, M., & Krim, H. (2015). Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 2709-2713).

Bian, X., Krim, H., Bronstein, A., & Dai, L. Y. (2015). Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 3781-3785).

Emrani, S., & Krim, H. (2015). Spectral estimation in highly transient data. In 2015 23rd european signal processing conference (eusipco). (European Signal Processing Conference, ) (pp. 1721-1725).

Wilkerson, A. C., Chintakunta, H., & Krim, H. (2014). Computing persistent features in big data: A distributed dimension reduction approach. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ).

Emrani, S., Chintakunta, H., & Krim, H. (2014). Real time detection of harmonic structure: A case for topological signal analysis. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ).

Wilkerson, A. C., Moore, T. J., Swami, A., & Krim, H. (2013). Simplifying the homology of networks via strong collapses. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 5258-5262).

Emrani, S., & Krim, H. (2013). Wheeze detection and location using spectro-temporal analysis of lung sounds. In 29th southern biomedical engineering conference (sbec 2013). (Proceedings of the Southern Biomedical Engineering Conference, ) (pp. 37-38).

Yi, S., Krim, H., & Norris, L. K. (2012). Human activity modeling as Brownian motion on shape manifold. In Scale space and variational methods in computer vision. (Lecture Notes in Computer Science, 6667) (pp. 628-639).

Lee, D., & Krim, H. (2012). A sampling theorem for a 2D surface. In Scale space and variational methods in computer vision. (Lecture Notes in Computer Science, 6667) (pp. 556-567).

Miao, S., & Krim, H. (2011). Robustness and expression independence in 3D face recognition. In 2011 ieee workshop on signal processing systems (sips). (IEEE Workshop on Signal Processing Systems, ) (pp. 289-292).

Clouse, H. S., Krim, H., Sakla, W., & Mendoza-Schrock, O. (2011). Vehicle tracking through the exploitation of remote sensing and LWIR polarization science. In Polarization science and remote sensing v. (Proceedings of SPIE-the International Society for Optical Engineering, 8160).

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), ).

Clouse, H. S., Krim, H., & Mendoza-Schrock, O. (2011). A scaled, performance driven evaluation of the layered sensing framework utilizing polarimetric infrared imagery. In Evolutionary and bio-inspired computation: theory and applications v. (Proceedings of SPIE-the International Society for Optical Engineering, 8059).

Miao, S., & Krim, H. (2010). 3D face recognition based on evolution of ISO-geodesic distance curves. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 1134-1137).

Lee, D., & Krim, H. (2010). 3D surface reconstruction using structured circular light patterns. In Advanced concepts for intelligent vision systems, pt i. (Lecture Notes in Computer Science, 6474) (pp. 279-289).

Aouada, D., & Krim, H. (2009). Novel similarity invariant for space curves using turning angles and its application to object recognition. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 1277-1280).

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. In International conference on acoustics speech and signal processing. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ) (pp. 417-420).


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