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» On Feature Combination for Multiclass Object Classification
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NIPS
2008
13 years 11 months ago
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daph...
CVPR
2009
IEEE
15 years 4 months ago
Reducing JointBoost-Based Multiclass Classification to Proximity Search
Boosted one-versus-all (OVA) classifiers are commonly used in multiclass problems, such as generic object recognition, biometrics-based identification, or gesture recognition. Join...
Alexandra Stefan (University of Texas at Arlington...
CVPR
2007
IEEE
14 years 11 months ago
Objects in Action: An Approach for Combining Action Understanding and Object Perception
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those obje...
Abhinav Gupta, Larry S. Davis
IJCV
2008
186views more  IJCV 2008»
13 years 9 months ago
Multi-Class Segmentation with Relative Location Prior
Multi-class image segmentation has made significant advances in recent years through the combination of local and global features. One important type of global feature is that of i...
Stephen Gould, Jim Rodgers, David Cohen, Gal Elida...
ISCAS
2006
IEEE
116views Hardware» more  ISCAS 2006»
14 years 3 months ago
Signal processing for brain-computer interface: enhance feature extraction and classification
Abstract-In this paper we present a new scheme for brain imaginary movement invovles sophisticated spatial-temporalsignal processing and classification for electroencephalogram spe...
Haihong Zhang, Cuntai Guan, Yuanqing Li