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» Boosting Object Detection Using Feature Selection
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ICCV
2001
IEEE
16 years 7 months ago
Pairwise Face Recognition
We develop a pairwise classification framework for face recognition, in which a class face recognition problem is divided into a set of ? ?? ? two class problems. Such a problem...
Guodong Guo, HongJiang Zhang, Stan Z. Li
IDA
2002
Springer
15 years 4 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
PCM
2004
Springer
108views Multimedia» more  PCM 2004»
15 years 10 months ago
MPEG-4 Video Retrieval Using Video-Objects and Edge Potential Functions
A novel video retrieval tool based on MPEG-4 video object (VO) representation is presented. The algorithm extends the concept of edge potential functions (EPF), already used in sha...
Minh-Son Dao, Francesco G. B. De Natale, Andrea Ma...
IJCV
1998
105views more  IJCV 1998»
15 years 4 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
PDP
2008
IEEE
15 years 11 months ago
Distributed Sparse Spatial Selection Indexes
Searching for similar objects in metric-space databases can be efficiently solved by using index data structures. A number of alternative sequential indexes have been proposed in...
Veronica Gil Costa, Mauricio Marín