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» Covariance Kernels from Bayesian Generative Models
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BMVC
2010
13 years 5 months ago
Label propagation in complex video sequences using semi-supervised learning
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipo...
CIKM
2008
Springer
13 years 9 months ago
Active relevance feedback for difficult queries
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
Zuobing Xu, Ram Akella
HICSS
2005
IEEE
175views Biometrics» more  HICSS 2005»
14 years 1 months ago
Causal Reasoning Engine: An Explanation-Based Approach to Syndromic Surveillance
1 Quickly detecting an unexpected pathogen can save many lives. In cases of bioterrorism or naturally occurring epidemics, accurate diagnoses may not be made until much of the popu...
Benjamin B. Perry, Tim Van Allen
PLDI
2011
ACM
12 years 10 months ago
Understanding POWER multiprocessors
Exploiting today’s multiprocessors requires highperformance and correct concurrent systems code (optimising compilers, language runtimes, OS kernels, etc.), which in turn requir...
Susmit Sarkar, Peter Sewell, Jade Alglave, Luc Mar...
AAAI
2000
13 years 9 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller