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NIPS
2008
13 years 9 months ago
Inferring rankings under constrained sensing
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
Srikanth Jagabathula, Devavrat Shah
JMIV
2006
133views more  JMIV 2006»
13 years 7 months ago
Combining Seminorms in Adaptive Lifting Schemes and Applications to Image Analysis and Compression
In this paper, we present some adaptive wavelet decompositions that can capture the directional nature of images. Our method exploits the properties of seminorms to build lifting s...
Gemma Piella, Béatrice Pesquet-Popescu, Hen...
PAMI
2012
11 years 10 months ago
Task-Driven Dictionary Learning
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Julien Mairal, Francis Bach, Jean Ponce
ICIP
2006
IEEE
14 years 9 months ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
KES
2008
Springer
13 years 7 months ago
Classification of Hyperspectral Images Compressed through 3D-JPEG2000
Abstract. Classification of hyperspectral images is paramount to an increasing number of user applications. With the advent of more powerful technology, sensed images demand for la...
Ian Blanes, Alaitz Zabala, Gerard Moré, Xav...