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» Combinations of Weak Classifiers
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ECCV
2008
Springer
14 years 10 months ago
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
Abhinav Gupta, Larry S. Davis
ECOOP
1999
Springer
14 years 28 days ago
An Approach to Classify Semi-structured Objects
Several advanced applications, such as those dealing with the Web, need to handle data whose structure is not known a-priori. Such requirement severely limits the applicability of ...
Elisa Bertino, Giovanna Guerrini, Isabella Merlo, ...
EUSFLAT
2003
116views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
Fuzzy logic and the Pittsburgh classifier system for mobile robot control
We report on experiments designed to highlight the strengths and weaknesses of an autonomous rule acquisition algorithm for the fuzzy controller of a simulated mobile robot. The a...
Anthony G. Pipe, Brian Carse
CVPR
2004
IEEE
14 years 10 months ago
Detecting and Reading Text in Natural Scenes
This paper gives an algorithm for detecting and reading text in natural images. The algorithm is intended for use by blind and visually impaired subjects walking through city scen...
Xiangrong Chen, Alan L. Yuille
IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
14 years 2 months ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...