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IJAR
2010
113views more  IJAR 2010»
15 years 3 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
173
Voted
FTCGV
2011
122views more  FTCGV 2011»
14 years 8 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ETS
2011
IEEE
220views Hardware» more  ETS 2011»
14 years 4 months ago
Structural In-Field Diagnosis for Random Logic Circuits
—In-field diagnosability of electronic components in larger systems such as automobiles becomes a necessity for both customers and system integrators. Traditionally, functional ...
Alejandro Cook, Melanie Elm, Hans-Joachim Wunderli...
ICCV
2009
IEEE
16 years 10 months ago
Moving in Stereo: Efficient Structure and Motion Using Lines
We present a fast and robust system for estimating structure and motion using a stereo pair, with straight lines as features. Our first set of contributions are efficient algorit...
Manmohan Chandraker, Jongwoo Lim, David Kriegman
CVPR
1997
IEEE
16 years 7 months ago
Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces
In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is inde...
Rikard Berthilsson, Anders Heyden, Gunnar Sparr