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UAI
1996
15 years 8 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
GCB
2004
Springer
91views Biometrics» more  GCB 2004»
16 years 22 hour ago
A Method for Fast Approximate Searching of Polypeptide Structures in the PDB
: The main contribution of this paper is a novel approach for fast searching in huge structural databases like the PDB. The data structure is based on an adaption of the generalize...
Hanjo Täubig, Arno Buchner, Jan Griebsch
CVPR
2009
IEEE
17 years 1 months ago
Factorization for Non-Rigid and Articulated Structure using Metric Projections
This paper describes a new algorithm for recovering the 3D shape and motion of deformable and articulated objects purely from uncalibrated 2D image measurements using an iterati...
Alessio Del Bue, João M. F. Xavier, Lourdes...
CVPR
2008
IEEE
16 years 8 months ago
A factorization approach to structure from motion with shape priors
This paper presents an approach for including 3D prior models into a factorization framework for structure from motion. The proposed method computes a closed-form affine fit which...
Alessio Del Bue
ICIP
2002
IEEE
16 years 8 months ago
3D structure from video streams with partially overlapping images
The majority of methods available to recover 3D structure from video assume that a set of feature points are tracked across a large number of frames. This is not always possible i...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar