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» A New Discriminative Kernel From Probabilistic Models
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ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
14 years 7 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
15 years 10 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
PAMI
2012
13 years 6 days ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
BMCBI
2011
14 years 4 months ago
Detection of viral sequence fragments of HIV-1 subfamilies yet unknown
Background: Methods of determining whether or not any particular HIV-1 sequence stems - completely or in part - from some unknown HIV-1 subtype are important for the design of vac...
Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bull...
PLDI
2011
ACM
14 years 18 days 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...