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134
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SSIAI
2000
IEEE
15 years 7 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
119
Voted
BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
15 years 9 months ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...
140
Voted
NIPS
1998
15 years 4 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
126
Voted
MICCAI
1999
Springer
15 years 7 months ago
Fully Automatic 3D/2D Subtracted Angiography Registration
Abstract. Today, 3-D angiography volumes are routinely generated from rotational angiography sequences. In previous work [7], we have studied the precision reached by registering s...
Erwan Kerrien, Marie-Odile Berger, Eric Maurincomm...
150
Voted
EUROCODE
1990
15 years 6 months ago
Linear complexity of transformed sequences
: This paper deals with the effect of bit change errors on the linear complexity of finite sequences. Though a change in a single bit can cause a large change in linear complexity,...
Harriet J. Fell