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2012
Kee H, Shen C-C, Bhattacharyya SS, Wong I, Rao Y, Kornerup J.  2012.  Mapping Parameterized Cyclo-static Dataflow Graphs onto Configurable Hardware. Journal of Signal Processing Systems. 66(3):285-301.
2011
Brefeld U, Getoor L, Macskassy SA.  2011.  Eighth workshop on mining and learning with graphs. SIGKDD Explor. Newsl.. 12(2):63-65.
Chellappa R.  2011.  The evolution of stochastic grammars for representation and recognition of activities in videos. 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). :688-688.
Gu R, Janneck JW, Raulet M, Bhattacharyya SS.  2011.  Exploiting Statically Schedulable Regions in Dataflow Programs. Journal of Signal Processing Systems. 63(1):129-142.
Singh S P, Baden R, Lee C, Bhattacharjee B, La R, Shayman M.  2011.  IP geolocation in metropolitan areas. Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems. :155-156.
Bhattacharyya SS, Eker J, Janneck JW, Lucarz C, Mattavelli M, Raulet M.  2011.  Overview of the MPEG Reconfigurable Video Coding Framework. Journal of Signal Processing Systems. 63(2):251-263.
Patel VM, Nasrabadi NM, Chellappa R.  2011.  Sparsity-motivated automatic target recognition. Applied OpticsAppl. Opt.. 50(10):1425-1433.
Sane N, Kee H, Seetharaman G, Bhattacharyya SS.  2011.  Topological Patterns for Scalable Representation and Analysis of Dataflow Graphs. Journal of Signal Processing Systems. 65(2):229-244.
2010
Pillai JK, Patel VM, Chellappa R, Ratha NK.  2010.  Sectored Random Projections for Cancelable Iris Biometrics. 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). :1838-1841.
2006
Fails JA, Karlson A, Shahamat L, Shneiderman B.  2006.  A Visual Interface for Multivariate Temporal Data: Finding Patterns of Events across Multiple Histories. Visual Analytics Science And Technology, 2006 IEEE Symposium On. :167-174.
2005
Zhou S K, Chellappa R.  2005.  Image-based face recognition under illumination and pose variations. Journal of the Optical Society of America AJ. Opt. Soc. Am. A. 22(2):217-229.
Baby T, Kim Y, Varshney A.  2005.  Unsupervised learning applied to progressive compression of time-dependent geometry. Computers & Graphics. 29(3):451-461.
2004
BenAbdelkader C, Cutler RG, Davis LS.  2004.  Gait recognition using image self-similarity. EURASIP J. Appl. Signal Process.. 2004:572-585.
Khan Z, Balch T, Dellaert F.  2004.  An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets. Computer Vision - ECCV 2004. :279-290.
2003
Hochheiser H, Baehrecke EH, Mount SM, Shneiderman B.  2003.  Dynamic querying for pattern identification in microarray and genomic data. 2003 International Conference on Multimedia and Expo, 2003. ICME '03. Proceedings. 3:III-453-6vol.3-III-453-6vol.3.
2002
Abd-Almageed W, Smith C.  2002.  Hidden Markov models for silhouette classification. Automation Congress, 2002 Proceedings of the 5th Biannual World. 13:395-402.
2000
Mount D, Netanyahu NS, Silverman R, Wu AY.  2000.  Chromatic nearest neighbor searching: A query sensitive approach. Computational Geometry. 17(3–4):97-119.
1994
Fermüller C, Kropatsch W.  1994.  A syntactic approach to scale-space-based corner description. IEEE Transactions on Pattern Analysis and Machine Intelligence. 16(7):748-751.
1992
Fermüller C, Aloimonos Y.  1992.  Perceptual computational advantages of tracking. , 11th IAPR International Conference on Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings. :599-602.
1989
Yacoob Y, Gold YI.  1989.  3D object recognition via simulated particles diffusion. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89. :442-449.