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» Learning Probabilistic Models of Contours
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109
Voted
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 3 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
FGR
2000
IEEE
114views Biometrics» more  FGR 2000»
15 years 7 months ago
Wide-Range, Person- and Illumination-Insensitive Head Orientation Estimation
We present an algorithm for estimation of head orientation, given cropped images of a subject’s head from any viewpoint. Our algorithm handles dramatic changes in illumination, ...
Ying Wu, Kentaro Toyama
127
Voted
ACL
2009
15 years 19 days ago
Improving Tree-to-Tree Translation with Packed Forests
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...
Yang Liu, Yajuan Lü, Qun Liu
102
Voted
NIPS
2003
15 years 4 months ago
Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons
This paper presents VLSI circuits with continuous-valued probabilistic behaviour realized by injecting noise into each computing unit(neuron). Interconnecting the noisy neurons fo...
Hsin Chen, Patrice Fleury, Alan F. Murray
145
Voted
JMLR
2010
143views more  JMLR 2010»
14 years 9 months ago
Beware of the DAG!
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
A. Philip Dawid