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» Decision Detection Using Hierarchical Graphical Models
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ICIP
2002
IEEE
14 years 10 months ago
Learning a decision boundary for face detection
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
Tae-Kyun Kim, Donggeon Kong, Sang Ryong Kim
HICSS
1994
IEEE
105views Biometrics» more  HICSS 1994»
14 years 23 days ago
Towards a Design Methodology for Decision Support Systems
This paper proposes the use of process models for DSS design. The kind of process models suggested are task structures and decision structures with simple graphical syntax and sem...
J. J. Zuurbier, J. N. Brinkkemper, Margriet Offere...
IJRR
2007
186views more  IJRR 2007»
13 years 8 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
IJAR
2006
91views more  IJAR 2006»
13 years 8 months ago
Sequential influence diagrams: A unified asymmetry framework
We describe a new graphical language for specifying asymmetric decision problems. The language is based on a filtered merge of several existing languages including sequential valu...
Finn Verner Jensen, Thomas D. Nielsen, Prakash P. ...
CGF
2000
106views more  CGF 2000»
13 years 8 months ago
Constructive Volume Geometry
: Having evolved from volume visualisation, volume graphics is emerging as an important sub-field of computer graphics. This paper focuses on a fundamental aspect of volume graphic...
Min Chen, J. V. Tucker