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CORR
2011
Springer
148views Education» more  CORR 2011»
15 years 2 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
JOCN
2010
75views more  JOCN 2010»
15 years 2 months ago
Functional Overlap between Regions Involved in Speech Perception and in Monitoring One's Own Voice during Speech Production
The fluency and the reliability of speech production suggest a mechanism that links motor commands and sensory feedback. Here, we examined the neural organization supporting such ...
Zane Z. Zheng, Kevin G. Munhall, Ingrid S. Johnsru...
TSP
2010
15 years 2 months ago
The acoustic vector-sensor's near-field array-manifold
Abstract--The acoustic vector-sensor is a practical and versatile soundmeasurement system, for applications in-room, open-air, or underwater. Its far-field measurement model has be...
Yue Ivan Wu, Kainam Thomas Wong, Siu-Kit Lau
NIPS
1998
15 years 8 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
CVPR
2010
IEEE
15 years 11 months ago
Local Features Are Not Lonely - Laplacian Sparse Coding for Image Classification
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...
Shenghua Gao, Wai-Hung Tsang, Liang-Tien Chia, Pei...