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» A New Discriminative Kernel From Probabilistic Models
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AAAI
2010
15 years 1 months ago
New Mini-Bucket Partitioning Heuristics for Bounding the Probability of Evidence
Mini-Bucket Elimination (MBE) is a well-known approximation algorithm deriving lower and upper bounds on quantities of interest over graphical models. It relies on a procedure tha...
Emma Rollon, Rina Dechter
TIT
2008
105views more  TIT 2008»
14 years 10 months ago
State Discrimination With Post-Measurement Information
We introduce a new state discrimination problem in which we are given additional information about the state after the measurement, or more generally, after a quantum memory bound ...
Manuel A. Ballester, Stephanie Wehner, Andreas Win...
CVPR
2008
IEEE
16 years 1 months ago
Regression from patch-kernel
In this paper, we present a patch-based regression framework for addressing the human age and head pose estimation problems. Firstly, each image is encoded as an ensemble of order...
Shuicheng Yan, Xi Zhou, Ming Liu, Mark Hasegawa-Jo...
CVPR
2001
IEEE
16 years 1 months ago
An Adaptive Algorithm for Text Detection from Natural Scenes
We present a new adaptive algorithm for automatic detection of text from a natural scene. The initial cues of text regions are first detected from the captured image/video. An ada...
Jiang Gao, Jie Yang
LAI
1996
128views more  LAI 1996»
15 years 1 months ago
Doxastic Normality Logic: A Qualitative Probabilistic Modal Framework for Defaults and Belief
We propose a new semantics for modeling belief, mixing conncepts from qualitative probabilistic and classical possible world accounts. Our belief structures are coherent sets of q...
Emil Weydert