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» Statistical Models of Conditioning
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142
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ICS
2010
Tsinghua U.
15 years 6 months ago
Memory Consistency Conditions for Self-Assembly Programming
: Perhaps the two most significant theoretical questions about the programming of self-assembling agents are: (1) necessary and sufficient conditions to produce a unique terminal a...
Aaron Sterling
165
Voted
ICPR
2000
IEEE
15 years 7 months ago
Skin Detection in Video under Changing Illumination Conditions
Techniques for color-based tracking of faces or hands often assume a static skin color model. However, skin color perceived by a camera can change when lighting changes. In common...
Maricor Soriano, Birgitta Martinkauppi, Sami Huovi...
152
Voted
RECOMB
2005
Springer
16 years 3 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
123
Voted
CVIU
2004
125views more  CVIU 2004»
15 years 2 months ago
Efficient detection under varying illumination conditions and image plane rotations
This paper focuses on the detection of objects with a Lambertian surface under varying illumination and pose. We offer to apply a novel detection method that proceeds by modeling ...
Margarita Osadchy, Daniel Keren
162
Voted
JMLR
2008
230views more  JMLR 2008»
15 years 2 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...