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ICML
2004
IEEE
14 years 6 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
SCALESPACE
2001
Springer
13 years 9 months ago
Down-Scaling for Better Transform Compression
Abstract. The most popular lossy image compression method used on the Internet is the JPEG standard. JPEG’s good compression performance and low computational and memory complexi...
Alfred M. Bruckstein, Michael Elad, Ron Kimmel
MICCAI
2010
Springer
13 years 3 months ago
Image Registration Driven by Combined Probabilistic and Geometric Descriptors
Abstract. Deformable image registration in the presence of considerable contrast differences and large-scale size and shape changes represents a significant challenge for image r...
Linh K. Ha, Marcel Prastawa, Guido Gerig, John H. ...
NIPS
2000
13 years 6 months ago
The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity
We describe a joint probabilistic model for modeling the contents and inter-connectivity of document collections such as sets of web pages or research paper archives. The model is...
David A. Cohn, Thomas Hofmann
CVPR
2010
IEEE
13 years 5 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton