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» Kernel Basis Pursuit
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NIPS
2004
15 years 3 months ago
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaa...
161
Voted
ICASSP
2011
IEEE
14 years 5 months ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes
109
Voted
ICIP
2008
IEEE
16 years 3 months ago
The Marr wavelet pyramid
We introduce a new semi-orthogonal complex wavelet basis of L2(R2 ). The basis functions are associated to the complex gradient-Laplace operator, which plays a central role in ima...
Dimitri Van De Ville, Michael Unser
125
Voted
JMLR
2006
150views more  JMLR 2006»
15 years 1 months ago
Building Support Vector Machines with Reduced Classifier Complexity
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCos...
114
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Greedy forward selection algorithms to Sparse Gaussian Process Regression
Abstract— This paper considers the basis vector selection issue invloved in forward selection algorithms to sparse Gaussian Process Regression (GPR). Firstly, we re-examine a pre...
Ping Sun, Xin Yao