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» Computational models of classical conditioning
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SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 3 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
CONEXT
2006
ACM
16 years 21 days ago
Modeling the AIADD paradigm in networks with variable delays
Modeling TCP is fundamental for understanding Internet behavior. The reason is that TCP is responsible for carrying a huge quota of the Internet traffic. During last decade many a...
Gennaro Boggia, Pietro Camarda, Alessandro D'Alcon...
ICML
2006
IEEE
16 years 7 months ago
Learning hierarchical task networks by observation
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
Negin Nejati, Pat Langley, Tolga Könik
ISSTA
2006
ACM
16 years 21 days ago
Path-oriented random testing
Test campaigns usually require only a restricted subset of paths in a program to be thoroughly tested. As random testing (RT) offers interesting fault-detection capacities at low ...
Arnaud Gotlieb, Matthieu Petit
CRV
2005
IEEE
153views Robotics» more  CRV 2005»
16 years 11 days ago
Detecting Abnormal Gait
Analyzing human gait has become popular in computer vision. So far, however, contributions to this topic almost exclusively considered the problem of person identification. In th...
Christian Bauckhage, John K. Tsotsos, Frank E. Bun...