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» Learning Generative Models via Discriminative Approaches
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RAID
2009
Springer
14 years 4 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
SAFECOMP
2010
Springer
13 years 8 months ago
Deriving Safety Cases for Hierarchical Structure in Model-Based Development
Abstract. Model-based development and automated code generation are increasingly used for actual production code, in particular in mathematical and engineering domains. However, si...
Nurlida Basir, Ewen Denney, Bernd Fischer 0002
JMLR
2006
120views more  JMLR 2006»
13 years 10 months ago
Learning Parts-Based Representations of Data
Many perceptual models and theories hinge on treating objects as a collection of constituent parts. When applying these approaches to data, a fundamental problem arises: how can w...
David A. Ross, Richard S. Zemel
BMCBI
2008
164views more  BMCBI 2008»
13 years 10 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke
MM
2005
ACM
145views Multimedia» more  MM 2005»
14 years 3 months ago
Multiple instance learning for labeling faces in broadcasting news video
Labeling faces in news video with their names is an interesting research problem which was previously solved using supervised methods that demand significant user efforts on lab...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann