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» Building Classifiers Using Bayesian Networks
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CLADE
2008
IEEE
14 years 5 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
ICIP
2010
IEEE
13 years 8 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
IJCAI
2007
14 years 2 days ago
Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
Most existing sketch understanding systems require a closed domain to achieve recognition. This paper describes an incremental learning technique for opendomain recognition. Our s...
Andrew M. Lovett, Morteza Dehghani, Kenneth D. For...
DIM
2008
ACM
13 years 11 months ago
Anti-phishing based on automated individual white-list
In phishing and pharming, users could be easily tricked into submitting their username/passwords into fraudulent web sites whose appearances look similar as the genuine ones. The ...
Ye Cao, Weili Han, Yueran Le
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Automatic Addressee Identification Based on Participants' Head Orientation and Utterances for Multiparty Conversations
We propose a method that uses the participants’ head orientation and utterances for automatically identifying the addressee of each utterance in face-to-face multiparty conversa...
Yoshinao Takemae, Shinji Ozawa