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» Feature Construction for Back-Propagation
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AAAI
2010
15 years 8 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
COMPLEXITY
2006
91views more  COMPLEXITY 2006»
15 years 6 months ago
The evolution of technology within a simple computer model
Technology--the collection of devices and methods available to human society--evolves by constructing new devices and methods from ones that previously exist, and in turn offering...
W. Brian Arthur, Wolfgang Polak
JSS
2002
90views more  JSS 2002»
15 years 6 months ago
Visual requirement representation
Most software development errors are caused by incorrect or ambiguous requirement specifications gathered during the requirement elicitation and analysis phase. For the past decad...
Deng-Jyi Chen, Wu-Chi Chen, Krishna M. Kavi
CVPR
2008
IEEE
16 years 8 months ago
Scale invariance without scale selection
In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our start...
Iasonas Kokkinos, Alan L. Yuille
ECCV
2006
Springer
16 years 8 months ago
Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs
Local appearance models in the neighborhood of salient image features, together with local and/or global geometric constraints, serve as the basis for several recent and effective...
Akash Kushal, Jean Ponce