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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
14 years 13 days ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
HRI
2011
ACM
12 years 10 months ago
Learning to interpret pointing gestures with a time-of-flight camera
Pointing gestures are a common and intuitive way to draw somebody’s attention to a certain object. While humans can easily interpret robot gestures, the perception of human beha...
David Droeschel, Jörg Stückler, Sven Beh...
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
SIGIR
2008
ACM
13 years 7 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
CVPR
2005
IEEE
14 years 29 days ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang