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» Measuring Learning Object Reuse
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121
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ICPR
2006
IEEE
16 years 3 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh
AIED
2005
Springer
15 years 8 months ago
Relation-based heuristic diffusion framework for LOM generation
Learning Object Metadata (LOM) intends to facilitate the retrieval and reuse of learning material. However, the fastidious task of authoring them limits their use. Motivated by thi...
Olivier Motelet
144
Voted
WWW
2011
ACM
14 years 9 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
PRL
2007
138views more  PRL 2007»
15 years 1 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
CCIA
2007
Springer
15 years 6 months ago
Assessing Confidence in Cased Based Reuse Step
Case-Based Reasoning (CBR) is a learning approach that solves current situations by reusing previous solutions that are stored in a case base. In the CBR cycle the reuse step plays...
F. Alejandro García, Javier Orozco, Jordi G...