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CVPR
2008
IEEE
14 years 10 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 8 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
CLEF
2006
Springer
13 years 12 months ago
The Effect of Entity Recognition on Answer Validation
The Answer Validation Exercise (AVE) 2006 is aimed at evaluating systems able to decide whether the responses of a Question Answering (QA) system are correct or not. Since most of ...
Álvaro Rodrigo, Anselmo Peñas, Jes&u...
AI
2007
Springer
13 years 8 months ago
What evolutionary game theory tells us about multiagent learning
This paper discusses If multi-agent learning is the answer, what is the question? [Y. Shoham, R. Powers, T. Grenager, If multiagent learning is the answer, what is the question? A...
Karl Tuyls, Simon Parsons
MCS
2010
Springer
13 years 10 months ago
Dynamic Selection of Ensembles of Classifiers Using Contextual Information
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...
Paulo Rodrigo Cavalin, Robert Sabourin, Ching Y. S...