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» A New Framework for Approximate Labeling via Graph Cuts
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CVPR
2004
IEEE
14 years 9 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
CVPR
2011
IEEE
13 years 3 months ago
Global Stereo Matching Leveraged by Sparse Ground Control Points
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
Liang Wang, Ruigang Yang
NIPS
2007
13 years 9 months ago
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...
Amir Globerson, Tommi Jaakkola
CVPR
2010
IEEE
14 years 1 months ago
Neuron Geometry Extraction by Perceptual Grouping in ssTEM images
In the field of neuroanatomy, automatic segmentation of electron microscopy images is becoming one of the main limiting factors in getting new insights into the functional struct...
Verena Kaynig, Thomas Fuchs, Joachim Buhmann
CC
2003
Springer
14 years 27 days ago
Early Control of Register Pressure for Software Pipelined Loops
Abstract. The register allocation in loops is generally performed after or during the software pipelining process. This is because doing a conventional register allocation at firs...
Sid Ahmed Ali Touati, Christine Eisenbeis