{"id":10,"date":"2013-07-07T21:23:08","date_gmt":"2013-07-08T01:23:08","guid":{"rendered":"https:\/\/beta.research.ece.ncsu.edu\/vissta\/?page_id=10"},"modified":"2019-12-29T22:03:40","modified_gmt":"2019-12-30T03:03:40","slug":"preprints","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/","title":{"rendered":"Publications"},"content":{"rendered":"<h4>Topics:<\/h4>\n<h4>[<a href=\"#CompVis\">Computer Vision and Machine Learning<\/a>]\n[<a href=\"#AppTop\">Applied Topology<\/a>]\n[<a href=\"#Math\">Mathematics<\/a>]<\/h4>\n<div style=\"text-align: justify;\">\n<h2 id=\"CompVis\">Computer Vision and Machine Learning<\/h2>\n[<a href=\"#top\">back to top<\/a>]\n<ul>\n<li>Roheda, S., &amp; Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. <i>To appear in AAAI 2020. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2019\/12\/AAAI_Final.pdf\">PDF<\/a>]<\/i><\/li>\n<li>Ghanem, S.,\u00a0Panahi, A.,Krim, H.,\u00a0Kerekes R.,\u00a0Mattingly J. \u201cObject Classification by Robust Subspace Recovery\u201d\u00a0 to appear in 26th European Signal Processing Conference (EUSIPCO), 2018. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Sally3.pdf\">PDF<\/a>]<\/li>\n<li>Roheda, S., Krim, H., Luo, ZQ., Wu, T. &#8220;Decision Level Fusion: An Event Driven Approach&#8221;,\u00a0to appear in 26th European Signal Processing Conference (EUSIPCO), 2018. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Sid1.pdf\">PDF<\/a>]<\/li>\n<li>Yuming Huang, Ashkan Panahi, Hamid Krim, &amp; Liyi Dai (2018)<strong><em>\u00a0<\/em><\/strong>Fusion of Community Structures in Multiplex Networks by Label Constraints.\u00a0<em>EUSIPCO 2018 [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Yuming1.pdf\">PDF<\/a>]<\/em><\/li>\n<li>Bian X., A. Panahi and H. Krim (2018). <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0165168418301932\">Bi-Sparsity Pursuit: A Paradigm for Robust Subspace Recovery. Elsevier Signal Processing<\/a>, Vol. 152, Nov. (2018), Pages 148-159 [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Ashkan2.pdf\">PDF<\/a>]<\/li>\n<li>Mahdizadehaghdam, S., Panahi, A., Krim, H., &amp; Dai, L. (2018). Deep Dictionary Learning: A PARametric NETwork Approach.\u00a0<i>arXiv preprint arXiv:1803.04022<\/i>. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Shahin2.pdf\">PDF<\/a>]<\/li>\n<li>Mehdizadehaghdam S., A. Panahi, H. Krim. Deep Dictionary Learning: Synergizing Reconstruction and Classification. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Ashkan1.pdf\">PDF<\/a>]<\/li>\n<li>Roheda, S., Riggan, B.S., Krim, H., Dai, L. &#8220;<a class=\"dhtgD\" href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fieeexplore.ieee.org%2Fabstract%2Fdocument%2F8462082&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNERFUX2buHnv_i4n7_AlLXgYI6DIQ\" target=\"_blank\" rel=\"noopener noreferrer\">Cross-Modal Distillation: A Case for Generative Adversarial Networks<\/a>&#8220;, IEEE International Conference on Acoustics , Speech and Signal Processing 2018 (<a class=\"dhtgD\" href=\"http:\/\/www.google.com\/url?q=http%3A%2F%2Fsigport.org%2Fdocuments%2Fcross-modality-distillation-case-conditional-generative-adversarial-networks&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNFUE7HxIiNH5ggMYiRFMRt-Ip04Fg\" target=\"_blank\" rel=\"noopener noreferrer\">Poster<\/a>). [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Sid2.pdf\">PDF<\/a>]<\/li>\n<li>Panahi, A., H. Krim and L. Dai (2018). <a href=\"https:\/\/ieeexplore-ieee-org.prox.lib.ncsu.edu\/document\/8462687\">Demystifying Deep Learning: a Geometric Approach to Iterative Projections<\/a>. International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2018. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Ashkan4.pdf\">PDF<\/a>]<\/li>\n<li>Panahi, A., X. Bian, H. Krim and L. Dai (2018), <a href=\"https:\/\/ieeexplore-ieee-org.prox.lib.ncsu.edu\/document\/8354251\">Robust Subspace Clustering by Bi-sparsity Pursuit: Guarantees and Sequential Algorithm<\/a>. Applications of Computer Vision (WACV), 2018 IEEE Conference on. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Ashkan5.pdf\">PDF<\/a>]<\/li>\n<li class=\"m_539834626740935255gmail-MsoBodyText\">Wen Tang, et al., \u201cAnalysis Dictionary Learning based Classification: Structure for Robustness,\u201d arXiv preprint arXiv:1807.04899, 2018. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Wen1.pdf\">PDF<\/a>]<\/li>\n<li class=\"m_539834626740935255gmail-MsoBodyText\">Wen Tang, et al., \u201cStructured Analysis Dictionary Learning for Image Classification,\u201d ICASSP 2018, IEEE, 2018. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/wen2.pdf\">PDF<\/a>]<\/li>\n<li>Ghanem, S., Krim, H., Clouse H., Sakla, W. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/8424176\">&#8220;Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic&#8221;<\/a> submitted to Transactions on Image Processing, IEEE, 2017. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Sally2.pdf\">PDF<\/a>]&#8217;<\/li>\n<li>Mahdizadehaghdam, S., Wang, H., Krim, H., &amp; Dai, L. (2016). <a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/7592445\">Information diffusion of topic propagation in social media<\/a>.\u00a0<i>IEEE Transactions on Signal and Information Processing over Networks<\/i>,\u00a0<i>2<\/i>(4), 569-581. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Shahin1.pdf\">PDF<\/a>]<\/li>\n<li class=\"m_539834626740935255gmail-MsoBodyText\">Wen Tang, et al., \u201c<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/7551849\">Analysis dictionary learning for scene classification.<\/a>\u201d\u00a0Statistical Signal Processing Workshop (SSP), IEEE, 2016. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Wen3.pdf\">PDF<\/a>]<\/li>\n<li class=\"m_539834626740935255gmail-MsoBodyText\">Hui Guan, Wen Tang, et al., \u201c<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/7536867\">A topological collapse for document summarization.<\/a>\u201d<i>\u00a0Signal Processing Advances in Wireless Communications<\/i>\u00a0(SPAWC), 2016 IEEE 17th International Workshop on. IEEE, 2016. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Wen4.pdf\">PDF<\/a>]<\/li>\n<li>Yuming Huang, &amp; Han Wang (2016). <a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/7905877\">Consensus and Multiplex Approach for Community Detection in Attributed Networks<\/a>.\u00a0<em>GlobalSIP 2016<\/em>. [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Yuming4.pdf\">PDF<\/a>]<\/li>\n<li><span style=\"font-size: 1rem;\">Bian, Xiao, and Hamid Krim. &#8220;Bi-Sparsity Pursuit for Robust Subspace Recovery.&#8221; IEEE International Conference on Image Processing, ICIP 2015.\u00a0<\/span><a style=\"font-size: 1rem;\" href=\"https:\/\/www.researchgate.net\/profile\/Xiao_Bian\/publication\/282355611_BI-SPARSITY_PURSUIT_FOR_ROBUST_SUBSPACE_RECOVERY\/links\/560ddd6808ae6cf681541da5.pdf\">preprint<\/a><\/li>\n<li>Bian, X., Krim, H., Bronstein, A., &amp; Dai, L. &#8220;Sparse Null Space Basis Pursuit and Analysis Dictionary Learning for High-Dimensional Data Analysis&#8221; IEEE International Conference on\u00a0Acoustics, Speech and Signal Processing,\u00a0ICASSP 2015,\u00a0<a href=\"http:\/\/s3.amazonaws.com\/sdieee\/1814-icassp2015.pdf\">preprint<\/a><\/li>\n<li>Emrani, Saba and \u00a0Krim, Hamid, &#8220;Spectral Analysis of Highly Transient Data&#8221;, EUSIPCO 2015, <a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2013\/08\/pdf.pdf\">preprint<\/a><\/li>\n<li>Clouse, H., Bian, X., Gentimis, T., Krim, H., &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/7025194\">Multi-Level Scene Understanding Via Hierarchical Classification<\/a>&#8220;, IEEE ICIP 2014 [<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2018\/11\/Multi-LevelScUnderstanding_H.Clouse.pdf\">PDF<\/a>]<\/li>\n<li>Wang, Tian and Krim, Hamid. &#8220;Analysis and Control of Beliefs in Social Networks.&#8221; IEEE Journal of Selected Topics in Signal Processing. 2013. Submitted. <a href=\"http:\/\/www.vissta.ncsu.edu\/data\/papers\/Analysis%20and%20Control%20of%20Beliefs%20in%20Social%20Networks.pdf\">Preprint<\/a><\/li>\n<li>Wang, Tian and Krim, Hamid. &#8220;Control and Prediction of Beliefs on Social Network.&#8221; IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2013. <a href=\"http:\/\/www.vissta.ncsu.edu\/data\/papers\/Control%20and%20Prediction%20of%20Beliefs%20on%20Social%20Network.pdf\">Preprint<\/a><\/li>\n<li>Wang, Tian and Krim, Hamid and Yannis Viniotis. \u201cA generalized Markov Graph model: Application to social network analysis.\u201d IEEE Journal of Selected Topics in Signal Processing. 2013. <a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6461051\">IEEE Xplore<\/a><\/li>\n<li>Wang, Tian and Krim, Hamid. &#8220;Statistical classification of social networks.&#8221; Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference. pp.3977-3980. 2012. <a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/abstractCitations.jsp?arnumber=6288789\">IEEE Xplore<\/a><\/li>\n<li>Xiao Bian and Hamid Krim, &#8220;Optimal Operator Space Pursuit: A Framework for Video\u00a0Sequence Data Analysis&#8221;, 11th Asian Conference on Computer Vision (ACCV), 2012 <a href=\"https:\/\/docs.google.com\/viewer?a=v&amp;pid=sites&amp;srcid=ZGVmYXVsdGRvbWFpbnxjdmJpYW58Z3g6NjQyMzc5M2ViZjc5YzAyOQ\">Preprint<\/a><\/li>\n<li>Xiao Bian and Hamid Krim, &#8220;Video&#8211;based Human Activity Analysis: An operator based Approach&#8221;, paper and oral presentation in the 20th International Conference\u00a0on Computer Graphics, Visualization and Computer Vision (WSCG), 2012 <a href=\"https:\/\/docs.google.com\/viewer?a=v&amp;pid=sites&amp;srcid=ZGVmYXVsdGRvbWFpbnxjdmJpYW58Z3g6MWQxNGQyODc4MDg3YTAwMg\">Preprint<\/a><\/li>\n<li>Xiao Bian and Hamid Krim, &#8220;Hidden Markov Model for Human Activity Video\u00a0via Image Operator Sequence Embedding&#8221;, submitted to Geometric Science of\u00a0Information (GSI2013) <a href=\"https:\/\/docs.google.com\/viewer?a=v&amp;pid=sites&amp;srcid=ZGVmYXVsdGRvbWFpbnxjdmJpYW58Z3g6NzY0M2YxNDQ5ZjZkZjNkZg\">Preprint<\/a><\/li>\n<li>Xiao Bian, B. Gibson and H. Krim, &#8220;A probabilistic approach of space objects\u00a0detection from non-resolved optical observation&#8221;, AMOS 2013<\/li>\n<li>Xiao Bian and Hamid Krim, &#8220;Optimal Operator Subspace Pursuit for Human activity\u00a0analysis&#8221;, journal paper under review<\/li>\n<li>Hamilton Scott Clouse, Hamid Krim, and Wesam Sakla, &#8220;Applications of Polarimetric Diversity in Long-wave Infrared Video From a Low-flying Platform&#8221;, IEEE Transactions on Aerospace and Electronic Systems. 2013. Submitted. <a href=\"http:\/\/scottclouse.com\/ClouseKrimEtAl_AppPolarVideo.pdf\">Preprint<\/a><\/li>\n<li>Hamilton Scott Clouse, Hamid Krim, Wesam Sakla, and Olga Mendoza-Schrock, &#8220;Vehicle Tracking Through the Exploitation of Remote Sensing and LWIR Polarization Science&#8221;, Proceedings of Polarization Science and Remote Sensing V. SPIE Optics. 2011. <a href=\"http:\/\/scottclouse.com\/SPIE-OP_Aug2011_ClouseEtal_rev2.pdf\">Preprint<\/a><\/li>\n<li>Hamilton Scott Clouse, Hamid Krim, and Olga Mendoza-Schrock. &#8220;A scaled, performance driven evaluation of the Layered-Sensing Framework utilizing polarimetric infrared imagery&#8221;, Proceedings of the Evolutionary and Bio-Inspired Computation: Theory and Applications V. SPIE Defense, Security, and Sensing. 2011. <a href=\"http:\/\/scottclouse.com\/SPIE-DSS_4-2011_DISTC_rev3.pdf\">Preprint<\/a><\/li>\n<li>Patrick, Jim and Clouse, Hamilton Scott and Mendoza-Schrock, Olga and Arnold, Gregory. \u201cA Limited Comparative Study of Dimension Reduction Techniques on CAESAR.\u201d Proceedings of the IEEE 2010 National Aerospace and Electronics Conference. 2010. <a href=\"http:\/\/scottclouse.com\/Patrick_NAECON2010rev2.pdf\">Preprint<\/a><\/li>\n<\/ul>\n<\/div>\n<div style=\"text-align: justify;\">\n<h2 id=\"AppTop\">Applied Topology<\/h2>\n[<a href=\"#top\">back to top<\/a>]\n<ul>\n<li>Harish Chintakunta and Hamid Krim, &#8220;Distributed localization of coverage holes using Topological Persistence&#8221;,\u00a0submitted for publication in IEEE Transactions on Signal Processing. 2013.\u00a0<a href=\"http:\/\/www4.ncsu.edu\/~hkchinta\/localization_persistence.pdf\">Preprint<\/a><\/li>\n<li>Harish Chintakunta and Hamid Krim, &#8220;Distributed shape analysis using alpha and Delaunay-Cech shapes&#8221;,\u00a0submitted for publication in special issue of Discrete Applied Mathematics. 2013. <a href=\"http:\/\/www4.ncsu.edu\/~hkchinta\/dgci_journal.pdf\">Preprint<\/a><a href=\"http:\/\/www4.ncsu.edu\/~hkchinta\/dgci_journal.pdf\"><br \/>\n<\/a><\/li>\n<li>Harish Chintakunta and Hamid Krim, &#8220;Distributed boundary tracking using Alpha and Delaunay-\u010cech shapes&#8221;,\u00a0Demonstrated at International Conference on Discrete Geometry for Computer Imagery, 2013. <a href=\"http:\/\/www4.ncsu.edu\/~hkchinta\/alphaAndDelaunay.pdf\">Preprint<\/a><\/li>\n<li>Jennifer Gamble, Harish Chintakunta, and Hamid Krim, &#8220;Applied topology in static and dynamic sensor networks&#8221;,\u00a0Signal Processing and Communications (SPCOM), 2012 International Conference on. IEEE, 2012. <a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6290237\">IEEE Xplore<\/a><a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6290237\"><br \/>\n<\/a><\/li>\n<li>Harish Chintakunta and Hamid Krim, &#8220;Detection and tracking of systematic time-evolving failures in sensor networks&#8221;,\u00a0Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 4th IEEE International Workshop on. IEEE, 2011. <a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6136029\">IEEE Xplore<\/a><\/li>\n<li>Harish Chintakunta and Hamid Krim, &#8220;Divide and conquer: Localizing coverage holes in sensor networks&#8221;,\u00a0Sensor Mesh and Ad Hoc Communications and Networks (SECON), 2010 7th Annual IEEE Communications Society Conference on. IEEE, 2010. <a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=5508237&amp;tag=1\">IEEE Xplore<\/a><\/li>\n<li>Jennifer Gamble, Harish Chintakunta, and Hamid Krim, &#8220;Applied topology in static and dynamic sensor networks.\u00a0<i>IEEE 2012 International Conference on Signal Processing and Communications (SPCOM)<\/i>. 2012. <a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6290237\">IEEE Xplore<\/a><\/li>\n<li>Saba Emrani, Thanos Gentimis, and Hamid Krim, &#8220;Persistent Homology of Delay Embeddings&#8221;, to be submitted. <a href=\"http:\/\/arxiv.org\/pdf\/1305.3879v1.pdf\">Preprint<\/a><\/li>\n<li>Saba Emrani<span style=\"font-size: medium;\">,\u00a0<\/span>Thanos Gentimis, and Hamid Krim, &#8220;Persistent Homology of Delay Embeddings and its Application in Wheeze Detection&#8221;, submitted to 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013. <a href=\"http:\/\/arxiv.org\/abs\/1305.3879\">Preprint<\/a><\/li>\n<li>Saba Emrani and\u00a0Hamid Krim, &#8221; Wheeze Detection and Location using Spectro-temporal Analysis of Lung Sounds&#8221;, Proceeding of the 29th Southern Biomedical Engineering Conference, SBEC 2013. <a href=\"https:\/\/docs.google.com\/viewer?a=v&amp;pid=sites&amp;srcid=ZGVmYXVsdGRvbWFpbnxzYWJhZW1yYW5pfGd4OjViODdmMzhlZjlmOWQzZjg\">Preprint<\/a><\/li>\n<li>Adam C. Wilkerson, Terrence J. Moore, Ananthram Swami, and Hamid Krim, &#8220;Simplifying the Homology of Networks via Strong Collapses&#8221;, Proceeding of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2013.\u00a0<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2013\/07\/wilkerson.pdf\">ICASSP pdf<\/a><a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2013\/07\/wilkerson.pdf\"><br \/>\n<\/a><\/li>\n<li>Adam C. Wilkerson, Harish Chintakunta, Hamid Krim, Terrence J. Moore, and Ananthram Swami, &#8220;A Distributed Collapse of a Network&#8217;s Dimensionality&#8221;, Global Conference on Signal and Image Processing (GlobalSIP) 2013.\u00a0<a href=\"https:\/\/research.ece.ncsu.edu\/wp-content\/uploads\/sites\/30\/2013\/07\/wilkerson1.pdf\">GlobalSIP pdf<\/a><\/li>\n<\/ul>\n<\/div>\n<div style=\"text-align: justify;\">\n<h2 id=\"Math\">Mathematics<\/h2>\n[<a href=\"#top\">back to top<\/a>]\n<ul>\n<li>Thanos Gentimis, &#8220;Asymptotic dimension of finitely presented groups&#8221;, Proc. Amer. Math. Soc. 136(2008), no 12, 4103-4410, 20F69(20F65) <a href=\"http:\/\/www.ams.org\/journals\/proc\/2008-136-12\/S0002-9939-08-08973-9\/S0002-9939-08-08973-9.pdf\">Preprint<\/a><\/li>\n<li>\u00a0Thanos Gentimis, &#8220;On Limit Aperiodic G-Sets&#8221;, Under review by Revista Matematica Complutence <a href=\"http:\/\/arxiv.org\/abs\/0801.2009\">Preprint<\/a><\/li>\n<li>Alexander Dranishnikov and Thanos Gentimis, On cohomology of the Higson compactification of hyperbolic spaces, Submitted to Topology and Applications <a href=\"http:\/\/arxiv.org\/abs\/1110.2518\">Preprint<\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., &amp; Krim, H. (2019). Conquering the&#8230;<\/p>\n","protected":false},"author":108,"featured_media":0,"parent":0,"menu_order":9,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width.php","meta":{"_acf_changed":false,"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-10","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., &amp; Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. To appear in AAAI 2020. [PDF] Ghanem, S., Panahi, A.,Krim, H., Kerekes R., Mattingly J. \u201cObject Classification by Robust Subspace Recovery\u201d to appear\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.10\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"VISSTA | Vision, Information, and Statistical Signal Theories and Applications Group\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Publications | VISSTA\" \/>\n\t\t<meta property=\"og:description\" content=\"Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., &amp; Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. To appear in AAAI 2020. [PDF] Ghanem, S., Panahi, A.,Krim, H., Kerekes R., Mattingly J. \u201cObject Classification by Robust Subspace Recovery\u201d to appear\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2013-07-08T01:23:08+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2019-12-30T03:03:40+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary\" \/>\n\t\t<meta name=\"twitter:title\" content=\"Publications | VISSTA\" \/>\n\t\t<meta name=\"twitter:description\" content=\"Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., &amp; Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. To appear in AAAI 2020. [PDF] Ghanem, S., Panahi, A.,Krim, H., Kerekes R., Mattingly J. \u201cObject Classification by Robust Subspace Recovery\u201d to appear\" \/>\n\t\t<script type=\"application\/ld+json\" class=\"aioseo-schema\">\n\t\t\t{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/preprints\\\/#breadcrumblist\",\"itemListElement\":[{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta#listItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\",\"nextItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/preprints\\\/#listItem\",\"name\":\"Publications\"}},{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/preprints\\\/#listItem\",\"position\":2,\"name\":\"Publications\",\"previousItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta#listItem\",\"name\":\"Home\"}}]},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/#organization\",\"name\":\"VISSTA\",\"description\":\"Vision, Information, and Statistical Signal Theories and Applications Group\",\"url\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/preprints\\\/#webpage\",\"url\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/preprints\\\/\",\"name\":\"Publications | VISSTA\",\"description\":\"Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., & Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. To appear in AAAI 2020. [PDF] Ghanem, S., Panahi, A.,Krim, H., Kerekes R., Mattingly J. \\u201cObject Classification by Robust Subspace Recovery\\u201d to appear\",\"inLanguage\":\"en-US\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/#website\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/preprints\\\/#breadcrumblist\"},\"datePublished\":\"2013-07-07T21:23:08-04:00\",\"dateModified\":\"2019-12-29T22:03:40-05:00\"},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/#website\",\"url\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/\",\"name\":\"VISSTA\",\"description\":\"Vision, Information, and Statistical Signal Theories and Applications Group\",\"inLanguage\":\"en-US\",\"publisher\":{\"@id\":\"https:\\\/\\\/research.ece.ncsu.edu\\\/vissta\\\/#organization\"}}]}\n\t\t<\/script>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"Publications | VISSTA","description":"Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., & Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. To appear in AAAI 2020. [PDF] Ghanem, S., Panahi, A.,Krim, H., Kerekes R., Mattingly J. \u201cObject Classification by Robust Subspace Recovery\u201d to appear","canonical_url":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"BreadcrumbList","@id":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/#breadcrumblist","itemListElement":[{"@type":"ListItem","@id":"https:\/\/research.ece.ncsu.edu\/vissta#listItem","position":1,"name":"Home","item":"https:\/\/research.ece.ncsu.edu\/vissta","nextItem":{"@type":"ListItem","@id":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/#listItem","name":"Publications"}},{"@type":"ListItem","@id":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/#listItem","position":2,"name":"Publications","previousItem":{"@type":"ListItem","@id":"https:\/\/research.ece.ncsu.edu\/vissta#listItem","name":"Home"}}]},{"@type":"Organization","@id":"https:\/\/research.ece.ncsu.edu\/vissta\/#organization","name":"VISSTA","description":"Vision, Information, and Statistical Signal Theories and Applications Group","url":"https:\/\/research.ece.ncsu.edu\/vissta\/"},{"@type":"WebPage","@id":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/#webpage","url":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/","name":"Publications | VISSTA","description":"Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., & Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. To appear in AAAI 2020. [PDF] Ghanem, S., Panahi, A.,Krim, H., Kerekes R., Mattingly J. \u201cObject Classification by Robust Subspace Recovery\u201d to appear","inLanguage":"en-US","isPartOf":{"@id":"https:\/\/research.ece.ncsu.edu\/vissta\/#website"},"breadcrumb":{"@id":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/#breadcrumblist"},"datePublished":"2013-07-07T21:23:08-04:00","dateModified":"2019-12-29T22:03:40-05:00"},{"@type":"WebSite","@id":"https:\/\/research.ece.ncsu.edu\/vissta\/#website","url":"https:\/\/research.ece.ncsu.edu\/vissta\/","name":"VISSTA","description":"Vision, Information, and Statistical Signal Theories and Applications Group","inLanguage":"en-US","publisher":{"@id":"https:\/\/research.ece.ncsu.edu\/vissta\/#organization"}}]},"og:locale":"en_US","og:site_name":"VISSTA | Vision, Information, and Statistical Signal Theories and Applications Group","og:type":"article","og:title":"Publications | VISSTA","og:description":"Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., &amp; Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. To appear in AAAI 2020. [PDF] Ghanem, S., Panahi, A.,Krim, H., Kerekes R., Mattingly J. \u201cObject Classification by Robust Subspace Recovery\u201d to appear","og:url":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/","article:published_time":"2013-07-08T01:23:08+00:00","article:modified_time":"2019-12-30T03:03:40+00:00","twitter:card":"summary","twitter:title":"Publications | VISSTA","twitter:description":"Topics: [Computer Vision and Machine Learning] [Applied Topology] [Mathematics] Computer Vision and Machine Learning [back to top] Roheda, S., &amp; Krim, H. (2019). Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. To appear in AAAI 2020. [PDF] Ghanem, S., Panahi, A.,Krim, H., Kerekes R., Mattingly J. \u201cObject Classification by Robust Subspace Recovery\u201d to appear"},"aioseo_meta_data":{"post_id":"10","title":"","description":"","keywords":"","keyphrases":"","primary_term":null,"canonical_url":"","og_title":"","og_description":"","og_object_type":"default","og_image_type":"default","og_image_url":"","og_image_width":"0","og_image_height":"0","og_image_custom_url":"","og_image_custom_fields":"","og_video":"","og_custom_url":"","og_article_section":"","og_article_tags":"","twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":"","twitter_image_custom_url":"","twitter_image_custom_fields":"","twitter_title":"","twitter_description":"","schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"WebPage","isEnabled":true},"graphs":[]},"schema_type":"","schema_type_options":"","pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":"0","robots_max_videopreview":"0","robots_max_imagepreview":"large","priority":0,"frequency":"","location":"","local_seo":"","breadcrumb_settings":null,"limit_modified_date":false,"ai":null,"created":"2020-12-21 10:38:50","updated":"2025-07-20 23:44:42","seo_analyzer_scan_date":null},"aioseo_breadcrumb":"<div class=\"aioseo-breadcrumbs\"><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/research.ece.ncsu.edu\/vissta\" title=\"Home\">Home<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">\u00bb<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\tPublications\n\t\t<\/span><\/div>","aioseo_breadcrumb_json":[{"label":"Home","link":"https:\/\/research.ece.ncsu.edu\/vissta"},{"label":"Publications","link":"https:\/\/research.ece.ncsu.edu\/vissta\/preprints\/"}],"_links":{"self":[{"href":"https:\/\/research.ece.ncsu.edu\/vissta\/wp-json\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.ece.ncsu.edu\/vissta\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/research.ece.ncsu.edu\/vissta\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/research.ece.ncsu.edu\/vissta\/wp-json\/wp\/v2\/users\/108"}],"replies":[{"embeddable":true,"href":"https:\/\/research.ece.ncsu.edu\/vissta\/wp-json\/wp\/v2\/comments?post=10"}],"version-history":[{"count":21,"href":"https:\/\/research.ece.ncsu.edu\/vissta\/wp-json\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":728,"href":"https:\/\/research.ece.ncsu.edu\/vissta\/wp-json\/wp\/v2\/pages\/10\/revisions\/728"}],"wp:attachment":[{"href":"https:\/\/research.ece.ncsu.edu\/vissta\/wp-json\/wp\/v2\/media?parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}