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» Objective Functions for Feature Discrimination
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CVPR
2010
IEEE
13 years 11 months ago
High performance object detection by collaborative learning of Joint Ranking of Granules features
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...
Chang Huang, Ramakant Nevatia
PAMI
2007
217views more  PAMI 2007»
13 years 10 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
DBPL
1995
Springer
91views Database» more  DBPL 1995»
14 years 2 months ago
Extensible Objects for Database Evolution: Language Features and Implementation Issues
One of the limitations of commercially available object-oriented DBMSs is their inability to deal with objects that may change their type during their life and which exhibit a plu...
Antonio Albano, Milena Diotallevi, Giorgio Ghelli
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
15 years 4 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
TASLP
2008
105views more  TASLP 2008»
13 years 11 months ago
Optimizing the Performance of Spoken Language Recognition With Discriminative Training
The performance of spoken language recognition system is typically formulated to reflect the detection cost and the strategic decision points along the detection-error-tradeoff cur...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee