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IJCNN
2006
IEEE
15 years 3 months ago
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
Lars Backstrom, Rich Caruana
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 2 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin
CVPR
2005
IEEE
15 years 11 months ago
Matching with PROSAC - Progressive Sample Consensus
A new robust matching method is proposed. The Progressive Sample Consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity fu...
Ondrej Chum, Jiri Matas
ICECCS
2010
IEEE
219views Hardware» more  ICECCS 2010»
14 years 9 months ago
Comparison of Six Ways to Extend the Scope of Cheddar to AADL v2 with Osate
Abstract—Cheddar is a framework dedicated to the specification of real-time schedulers, and to their analysis by simulation. It is developed in Ada. Some parts of its modular ar...
Mickaël Kerboeuf, Alain Plantec, Frank Singho...
STOC
2009
ACM
159views Algorithms» more  STOC 2009»
15 years 10 months ago
Message passing algorithms and improved LP decoding
Linear programming decoding for low-density parity check codes (and related domains such as compressed sensing) has received increased attention over recent years because of its p...
Sanjeev Arora, Constantinos Daskalakis, David Steu...