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SSIAI
2000
IEEE
15 years 8 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
BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
15 years 10 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...
152
Voted
NIPS
1998
15 years 5 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
MICCAI
1999
Springer
15 years 8 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...
EUROCODE
1990
15 years 8 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