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CVPR
2005
IEEE
16 years 4 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
ECIS
2000
15 years 4 months ago
Enhancing Government Decision Making Through Knowledge Discovery from Data
- A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision makers. In a developing country such a...
Herna L. Viktor, Heidi Arndt, Mauritz Oberholzer
ANOR
2010
82views more  ANOR 2010»
15 years 3 months ago
Time-based detection of changes to multivariate patterns
Detection of changes to multivariate patterns is an important topic in a number of different domains. Modern data sets often include categorical and numerical data and potentially...
Jing Hu, George C. Runger
IJAR
2006
89views more  IJAR 2006»
15 years 2 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
SIGMOD
2006
ACM
131views Database» more  SIGMOD 2006»
16 years 3 months ago
An automatic construction and organization strategy for ensemble learning on data streams
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
Yi Zhang, Xiaoming Jin