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» Sparse Image Reconstruction using Sparse Priors
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ICASSP
2011
IEEE
14 years 7 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
127
Voted
NIPS
2004
15 years 5 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
114
Voted
ICIP
1998
IEEE
16 years 5 months ago
Multiple Description Transform Coding of Images
Generalized multiple description coding (GMDC) is source coding for multiple channels such that a decoder which receives an arbitrary subset of the channels may produce a useful r...
Vivek K. Goyal, Jelena Kovacevic, Ramon Arean, Mar...
120
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Linear time decoding of real-field codes over high error rate channels
This paper proposes a novel algorithm for decoding real-field codes over erroneous channels, where the encoded message is corrupted by sparse errors, i.e., impulsive noise. The m...
Zaixing He, Takahiro Ogawa, Miki Haseyama
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 9 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman