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ICML
2003
IEEE
16 years 4 months ago
Multi-Objective Programming in SVMs
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
Jinbo Bi
IJCNN
2006
IEEE
15 years 10 months ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
CVPR
2006
IEEE
16 years 6 months ago
Learning Boosted Asymmetric Classifiers for Object Detection
Object detection can be posted as those classification tasks where the rare positive patterns are to be distinguished from the enormous negative patterns. To avoid the danger of m...
Xinwen Hou, Cheng-Lin Liu, Tieniu Tan
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 9 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
143
Voted
PGLDB
2003
133views Database» more  PGLDB 2003»
15 years 5 months ago
Workflows in Learning Object (LO)-Oriented Web-Based E-Learning Delivery Environments
Effective e-learning environments should promote high cooperation. Workflow techniques can certainly contribute to such effectiveness because, in these environments, the creation ...
Luiz Antônio M. Pereira