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» Objective reduction using a feature selection technique
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CVPR
2012
IEEE
11 years 11 months ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
ICCV
2007
IEEE
14 years 11 months ago
Efficient Mining of Frequent and Distinctive Feature Configurations
We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background....
Till Quack, Vittorio Ferrari, Bastian Leibe, Luc J...
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
14 years 3 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
ISSS
1995
IEEE
100views Hardware» more  ISSS 1995»
14 years 22 days ago
Power analysis and low-power scheduling techniques for embedded DSP software
This paper describes the application of a measurement based power analysis technique for an embedded DSP processor. An instruction-level power model for the processor has been dev...
Mike Tien-Chien Lee, Vivek Tiwari, Sharad Malik, M...
ICDAR
2003
IEEE
14 years 2 months ago
Automatic Feature Selection with Applications to Script Identification of Degraded Documents
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Vitaly Ablavsky, Mark R. Stevens