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» Second Order Approximations for Probability Models
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CSDA
2006
84views more  CSDA 2006»
13 years 7 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
TCAD
2002
104views more  TCAD 2002»
13 years 7 months ago
An instruction-level energy model for embedded VLIW architectures
In this paper, an instruction-level energy model is proposed for the data-path of very long instruction word (VLIW) pipelined processors that can be used to provide accurate power ...
Mariagiovanna Sami, Donatella Sciuto, Cristina Sil...
DCC
2004
IEEE
14 years 7 months ago
On the Entropy of a Hidden Markov Process
We study the entropy rate of a hidden Markov process (HMP) defined by observing the output of a binary symmetric channel whose input is a first-order binary Markov process. Despit...
Philippe Jacquet, Gadiel Seroussi, Wojciech Szpank...
CVPR
2008
IEEE
14 years 9 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
CVPR
2010
IEEE
14 years 3 months ago
Cascade Object Detection with Deformable Part Models
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
Pedro Felzenszwalb, Ross Girshick, David McAlleste...