Browse this collection by:
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M. A. Davenport, "The 2nu-SVM: A Cost-Sensitive Extension of the nu-SVM," Rice University ECE Technical Report, no. TREE 0504, 2005.
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R. Neelamani and K. Berkner,"Adaptive Representation of JPEG 2000 Images Using Header-based Processing," in IEEE International Conference on Image Processing,
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H. Choi, B. Hendricks and R. G. Baraniuk,"Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Trees," in Asilomar Conference on Signals, Systems, and Computers,, pp. 1287-1291.
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J. Romberg, H. Choi and R. G. Baraniuk, "Bayesian Tree-Structured Image Modeling using Wavelet-domain Hidden Markov Models," IEEE Transactions on Image Processing, vol. 10, no. 7, pp. 1056-1068, 2001.
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U. Ndili, R. D. Nowak and M. Figueiredo,"Coding Theoretic Approach to Image Segmentation," in IEEE International Conference on Image Processing,
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U. Ndili, "Coding Theoretic Approach to Image Segmentation," Masters Thesis, 2001.
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W. L. Chan, H. Choi and R. G. Baraniuk,"Coherent Image Processing using Quaternion Wavelets," in Proc. SPIE,
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R. Neelamani, R. G. Baraniuk and R. de Queiroz,"Compression Color Space Estimation of JPEG Images using Lattice Basis Reduction," in IEEE International Conference on Image Processing,, pp. 890-893.
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M. A. Davenport, R. G. Baraniuk and C. D. Scott,"Controlling False Alarms with Support Vector Machines," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. V-589 - V-592.
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R. Wagner, R. D. Nowak and R. G. Baraniuk,"Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution," in IEEE International Conference on Image Processing,
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S. Lavu, H. Choi and R. G. Baraniuk,"Estimation-Quantization Geometry Coding Using Normal Meshes," in Data Compression Conference,
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R. Neelamani, H. Choi and R. G. Baraniuk, "ForWaRD: Fourier-Wavelet Regularized Deconvolution for Ill-Conditioned Systems," IEEE Transactions on Signal Processing, vol. 52, no. 2, pp. 418-433, 2004.
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F. Y. Nan and R. D. Nowak, "Generalized likelihood ratio detection for fMRI using complex data," IEEE Transactions on Medical Imaging, vol. 18, no. 4, pp. 320-329, 1999.
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J. Romberg, H. Choi, R. G. Baraniuk and N. G. Kingsbury, "Hidden Markov Tree Models for Complex Wavelet Transforms," IEEE Transactions on Signal Processing, 2002.
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D. Wei, "Image Data Compression," Masters Thesis, 1995.
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M. Figueiredo and R. D. Nowak, "Image Restoration Using the EM Algorithm and Wavelet-Based Complexity Regularization," IEEE Transactions on Image Processing, 2002.
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R. Wagner, D. Waagen and M. Cassabaum,"Image Super-Resolution for Improved Automatic Target Recognition," in SPIE Defense & Security Symposium,
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R. Neelamani, R. de Queiroz, Z. Fan, S. Dash and R. G. Baraniuk, "JPEG Compression History Estimation for Color Images," IEEE Transactions on Image Processing, 2005.
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R. Neelamani, R. D. Nowak and R. G. Baraniuk,"Model-based Inverse Halftoning with Wavelet-Vaguelette Deconvolution," in IEEE International Conference on Image Processing,, pp. 973-976.
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R. Willett, "Multiscale Analysis for Intensity and Density Estimation," Masters Thesis, 2002.
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M. Jansen, R. G. Baraniuk and S. Lavu, "Multiscale Approximation of Piecewise Smooth Two-Dimensional Function using Normal Triangulated Meshes," Journal of Applied and Computational Harmonic Analysis, vol. 19, no. 1, pp. 92-130, 2005.
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R. Neelamani, J. Romberg, R. H. Riedi, H. Choi and R. G. Baraniuk,"Multiscale Image Segmentation Using Joint Texture and Shape Analysis," in Proc. SPIE, Wavelet Applications in Signal and Image Processign VIII,
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R. Willett and R. D. Nowak,"Multiscale Likelihood Analysis and Image Reconstruction," in SPIE Wavelets X,
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K. Timmerman and R. D. Nowak, "Multiscale modeling and estimation of Poisson processes with application to photon-limited imaging," IEEE Transactions on Information Theory, vol. 45, no. 3, pp. 846-842, 1999.
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R. Neelamani, S. Dash and R. G. Baraniuk, "On Nearly Orthogonal Lattice Bases," siam journal on discrete mathematics, 2005.
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R. Castro, M. Wakin and M. Orchard,"On The Problem of Simultaneous Encoding of Magnitude and Location Information," in Asilomar Conference on Signals, Systems, and Computers,
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R. Willett and R. D. Nowak,"Platelets for Multiscale Analysis in Medical Imaging," in Joint Meeting of the IEEE Engineering in Medicine and Biology Society and the Biomedical Engineering,
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R. Willett and R. D. Nowak,"Platelets for Multiscale Analysis in Photon-Limited Imaging," in IEEE International Conference on Image Processing,
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R. Willett and R. D. Nowak, "Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon-Limited Medical Imaging," IEEE Transactions on Medical Imaging, 2001.
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C. Scott and R. D. Nowak,"TEMPLAR: A Wavelet-Based Framework for Pattern Learning and Analysis," in IEEE Transactions on Signal Processing,
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C. Scott and R. D. Nowak,"Template Learning from Atomic Representations: A Wavelet-Based Approach to Pattern Analysis," in None,
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R. Neelamani, H. Choi and R. G. Baraniuk, "Wavelet-based deconvolution for ill-conditioned systems," IEEE Transactions on Image Processing, 2000.
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R. Neelamani, "Wavelet-based deconvolution for ill-Conditioned systems," Masters Thesis, 2000.
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R. Neelamani, H. Choi and R. G. Baraniuk,"Wavelet-based Deconvolution for Ill-conditioned Systems," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 3241-3244.
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R. Neelamani, H. Choi and R. G. Baraniuk,"Wavelet-Based Deconvolution Using Optimally Regularized Inversion for Ill-Conditioned Systems," in SPIE International Conference on Optical Science, Engineering, and Instrumentation,, pp. 58-72.
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R. D. Nowak, "Wavelet-based Rician noise removal for magnetic resonance imaging," IEEE Transactions on Image Processing, vol. 8, no. 10, pp. 1408-1419, 1999.
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R. Neelamani, H. Choi and R. G. Baraniuk,"Wavelet-Domain Regularized Deconvolution for Ill-Conditioned Systems," in IEEE International Conference on Image Processing,, pp. 204-208.
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R. Neelamani, R. D. Nowak and R. G. Baraniuk, "WInHD: Wavelet-based Inverse Halftoning via Deconvolution," IEEE Transactions on Image Processing, 2002.
M. A. Davenport, "The 2nu-SVM: A Cost-Sensitive Extension of the nu-SVM," Rice University ECE Technical Report, no. TREE 0504, 2005.
H. Choi, B. Hendricks and R. G. Baraniuk,"Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Trees," in Asilomar Conference on Signals, Systems, and Computers,, pp. 1287-1291.
J. Romberg, H. Choi and R. G. Baraniuk, "Bayesian Tree-Structured Image Modeling using Wavelet-domain Hidden Markov Models," IEEE Transactions on Image Processing, vol. 10, no. 7, pp. 1056-1068, 2001.
U. Ndili, R. D. Nowak and M. Figueiredo,"Coding Theoretic Approach to Image Segmentation," in IEEE International Conference on Image Processing,
U. Ndili, "Coding Theoretic Approach to Image Segmentation," Masters Thesis, 2001.
W. L. Chan, H. Choi and R. G. Baraniuk,"Coherent Image Processing using Quaternion Wavelets," in Proc. SPIE,
R. Neelamani, R. G. Baraniuk and R. de Queiroz,"Compression Color Space Estimation of JPEG Images using Lattice Basis Reduction," in IEEE International Conference on Image Processing,, pp. 890-893.
M. A. Davenport, R. G. Baraniuk and C. D. Scott,"Controlling False Alarms with Support Vector Machines," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. V-589 - V-592.
Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-ResolutionR. Wagner, R. D. Nowak and R. G. Baraniuk,"Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution," in IEEE International Conference on Image Processing,
S. Lavu, H. Choi and R. G. Baraniuk,"Estimation-Quantization Geometry Coding Using Normal Meshes," in Data Compression Conference,
R. Neelamani, H. Choi and R. G. Baraniuk, "ForWaRD: Fourier-Wavelet Regularized Deconvolution for Ill-Conditioned Systems," IEEE Transactions on Signal Processing, vol. 52, no. 2, pp. 418-433, 2004.
J. Romberg, H. Choi, R. G. Baraniuk and N. G. Kingsbury, "Hidden Markov Tree Models for Complex Wavelet Transforms," IEEE Transactions on Signal Processing, 2002.
D. Wei, "Image Data Compression," Masters Thesis, 1995.
R. Wagner, D. Waagen and M. Cassabaum,"Image Super-Resolution for Improved Automatic Target Recognition," in SPIE Defense & Security Symposium,
R. Neelamani, R. de Queiroz, Z. Fan, S. Dash and R. G. Baraniuk, "JPEG Compression History Estimation for Color Images," IEEE Transactions on Image Processing, 2005.
R. Neelamani, R. D. Nowak and R. G. Baraniuk,"Model-based Inverse Halftoning with Wavelet-Vaguelette Deconvolution," in IEEE International Conference on Image Processing,, pp. 973-976.
R. Willett, "Multiscale Analysis for Intensity and Density Estimation," Masters Thesis, 2002.
M. Jansen, R. G. Baraniuk and S. Lavu, "Multiscale Approximation of Piecewise Smooth Two-Dimensional Function using Normal Triangulated Meshes," Journal of Applied and Computational Harmonic Analysis, vol. 19, no. 1, pp. 92-130, 2005.
R. Neelamani, J. Romberg, R. H. Riedi, H. Choi and R. G. Baraniuk,"Multiscale Image Segmentation Using Joint Texture and Shape Analysis," in Proc. SPIE, Wavelet Applications in Signal and Image Processign VIII,
R. Willett and R. D. Nowak,"Multiscale Likelihood Analysis and Image Reconstruction," in SPIE Wavelets X,
R. Neelamani, S. Dash and R. G. Baraniuk, "On Nearly Orthogonal Lattice Bases," siam journal on discrete mathematics, 2005.
R. Castro, M. Wakin and M. Orchard,"On The Problem of Simultaneous Encoding of Magnitude and Location Information," in Asilomar Conference on Signals, Systems, and Computers,
R. Willett and R. D. Nowak,"Platelets for Multiscale Analysis in Medical Imaging," in Joint Meeting of the IEEE Engineering in Medicine and Biology Society and the Biomedical Engineering,
R. Willett and R. D. Nowak,"Platelets for Multiscale Analysis in Photon-Limited Imaging," in IEEE International Conference on Image Processing,
Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon-Limited Medical ImagingR. Willett and R. D. Nowak, "Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon-Limited Medical Imaging," IEEE Transactions on Medical Imaging, 2001.
C. Scott and R. D. Nowak,"TEMPLAR: A Wavelet-Based Framework for Pattern Learning and Analysis," in IEEE Transactions on Signal Processing,
C. Scott and R. D. Nowak,"Template Learning from Atomic Representations: A Wavelet-Based Approach to Pattern Analysis," in None,
R. Neelamani, "Wavelet-based deconvolution for ill-Conditioned systems," Masters Thesis, 2000.
R. Neelamani, H. Choi and R. G. Baraniuk,"Wavelet-based Deconvolution for Ill-conditioned Systems," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 3241-3244.
R. Neelamani, H. Choi and R. G. Baraniuk,"Wavelet-Based Deconvolution Using Optimally Regularized Inversion for Ill-Conditioned Systems," in SPIE International Conference on Optical Science, Engineering, and Instrumentation,, pp. 58-72.
R. Neelamani, H. Choi and R. G. Baraniuk,"Wavelet-Domain Regularized Deconvolution for Ill-Conditioned Systems," in IEEE International Conference on Image Processing,, pp. 204-208.
R. Neelamani, R. D. Nowak and R. G. Baraniuk, "WInHD: Wavelet-based Inverse Halftoning via Deconvolution," IEEE Transactions on Image Processing, 2002.