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» Discriminative Random Fields for Behavior Modeling
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CVPR
2010
IEEE
14 years 5 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
14 years 9 months ago
A hit-miss model for duplicate detection in the WHO drug safety database
The WHO Collaborating Centre for International Drug Monitoring in Uppsala, Sweden, maintains and analyses the world's largest database of reports on suspected adverse drug re...
Andrew Bate, G. Niklas Norén, Roland Orre
IJKESDP
2010
94views more  IJKESDP 2010»
13 years 5 months ago
Rule acquisition for cognitive agents by using estimation of distribution algorithms
Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent ...
Tokue Nishimura, Hisashi Handa
CVPR
2007
IEEE
14 years 10 months ago
Cast Shadow Removal Combining Local and Global Features
In this paper, we present a method using pixel-level information, local region-level information and global-level information to remove shadow. At the pixel-level, we employ GMM t...
Zhou Liu, Kaiqi Huang, Tieniu Tan, Liangsheng Wang
CVPR
2005
IEEE
14 years 10 months ago
Object Detection Using 2D Spatial Ordering Constraints
Object detection is challenging partly due to the limited discriminative power of local feature descriptors. We amend this limitation by incorporating spatial constraints among ne...
Yan Li, Yanghai Tsin, Yakup Genc, Takeo Kanade