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» On sparse signal representations
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NIPS
2007
15 years 8 months ago
A New View of Automatic Relevance Determination
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
David P. Wipf, Srikantan S. Nagarajan
203
Voted
CVPR
2009
IEEE
16 years 1 months ago
Contextual decomposition of multi-label images
Most research on image decomposition, e.g. image segmentation and image parsing, has predominantly focused on the low-level visual clues within single image and neglected the cont...
Teng Li, Tao Mei, Shuicheng Yan, In-So Kweon, Chil...
187
Voted
ICALP
2009
Springer
16 years 7 months ago
Testing Fourier Dimensionality and Sparsity
We present a range of new results for testing properties of Boolean functions that are defined in terms of the Fourier spectrum. Broadly speaking, our results show that the propert...
Parikshit Gopalan, Ryan O'Donnell, Rocco A. Served...
178
Voted
AVSS
2003
IEEE
16 years 10 days ago
Improving the Extraction of Temporal Motion Strength Signals from Video Recordings of Neonatal Seizures
Automated processing and analysis of video recordings of neonatal seizures can generate novel methods for extracting quantitative information that is relevant only to the seizure [...
Nicolaos B. Karayiannis, Guozhi Tao
214
Voted
BMCBI
2008
133views more  BMCBI 2008»
15 years 7 months ago
SPIKE - a database, visualization and analysis tool of cellular signaling pathways
Background: Biological signaling pathways that govern cellular physiology form an intricate web of tightly regulated interlocking processes. Data on these regulatory networks are ...
Ran Elkon, Rita Vesterman, Nira Amit, Igor Ulitsky...