Rice DSP Publications
] Filters: Author is Chinmay Hegde [Clear All Filters]
"Signal Recovery on Incoherent Manifolds",
Submitted to IEEE Transactions in Information Theory, Feb., Submitted.
Abstract
"Go with the flow: Optical flow-based transport operators for image manifolds",
Allerton Conference on Communication, Control and Computing, Allerton, IL/USA, September, 2011.
Abstract
"Sampling and recovery of pulse streams",
IEEE Transactions on Signal Processing, vol. 59, no. 4, pp. 1505-1517, Apr., 2011.
Abstract
"Joint manifolds for data fusion",
IEEE Transactions on Image Processing, vol. 19, no. 10, pp. 2580-2594, Oct., 2010.
Abstract
"High-dimensional data fusion via joint manifold learning",
AAAI Fall 2010 Symposium on Manifold Learning, Arlington, VA, Nov., 2010.
Abstract
"Compressive sensing of a superposition of pulses",
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, Tx, Mar., 2010.
Abstract
"Texas Hold 'Em algorithms for distributed compressive sensing",
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, Mar., 2010.
Abstract
"Model-based compressive sensing",
IEEE Transactions in Information Theory, vol. 56, pp. 1982-2001, April, 2010.
Abstract
"Compressive sensing of streams of pulses",
Allerton Conference on Communication, Control, and Computing, Sep., 2009.
Abstract
"Recovery of clustered sparse signals from compressive measurements",
Sampling Theory and Applications (SAMPTA), Marseille, May, 2009.
Abstract
"Recovery of compressible signals in unions of subspaces",
Proceedings of the Conference on Information Sciences and Systems (CISS), Baltimore, MD/USA, Mar., 2009.
Abstract
A theoretical analysis of joint manifolds,
, no. TREE 0901: Rice University, Department of Electrical and Computer Engineering, Jan., 2009.
Abstract
"Compressive Sensing Recovery of Spike Trains Using Structured Sparsity",
Proceedings of the Workshop on Signal Processing with Adaptive Sparse Representations (SPARS), Saint Malo, France, Apr., 2009.
Abstract
"Sparse Signal Recovery Using Markov Random Fields",
Proceedings of the Workshop on Neural Information Processing Systems (NIPS), Vancouver/Canada, Dec., 2008.
Abstract
Random Projections for Manifold Learning: Proofs and Analysis,
, no. TREE0710: Rice University, Department of Electrical and Computer Engineering , Oct., 2007.
Abstract
"Efficient machine learning using random projections",
Neural Information Processing Systems (NIPS) Workshop on Efficient Machine Learning, Whistler, BC, Dec., 2007.
Abstract
"Manifold-based approaches for improved classification",
Neural Information Processing Systems (NIPS) Workshop on Topology Learning, Whistler, BC, Dec., 2007.
Abstract
"Random Projections for Manifold Learning",
Neural Information Processing Systems (NIPS), Vancouver, Dec., 2007.
Abstract