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» On Fitting Mixture Models
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ICCV
2003
IEEE
16 years 8 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
15 years 11 months ago
Segmenting Hands of Arbitrary Color
Colorhasbeen widelyused for handsegmentation. However, many approaches rely on predefined skin color models. It is very difficult to predefine a color model in a mobile applica...
Xiaojin Zhu, Jie Yang, Alex Waibel
HICSS
2002
IEEE
142views Biometrics» more  HICSS 2002»
15 years 11 months ago
Multi-perspective Enterprise Modeling (MEMO) - Conceptual Framework and Modeling Languages
For many companies, the strategic as well as the organizational fit of their information systems is a pivotal factor for staying competitive. At the same time, there is an increas...
Ulrich Frank
BMCBI
2006
151views more  BMCBI 2006»
15 years 6 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
ICCV
2007
IEEE
16 years 8 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...