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» Consistency of Feature Markov Processes
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CVPR
2007
IEEE
14 years 10 months ago
Robust Estimation of Texture Flow via Dense Feature Sampling
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang
CVPR
2011
IEEE
13 years 3 months ago
Feature Guided Motion Artifact Reduction with Structure-Awareness in 4D CT Images
In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
Dongfeng Han, John Bayouth, Qi Song, sudershan Bha...
DASFAA
2009
IEEE
126views Database» more  DASFAA 2009»
14 years 3 months ago
Supporting Execution-Level Business Process Modeling with Semantic Technologies
Abstract. When creating execution-level process models from conceptual to-be process models, challenges are to find implementations for process activities and to use these impleme...
Matthias Born, Jörg Hoffmann, Tomasz Kaczmare...
ICIP
2009
IEEE
14 years 9 months ago
Lidar Waveform Modeling Using A Marked Point Process
Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate...
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
14 years 2 months ago
Entity Resolution with Markov Logic
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in...
Parag Singla, Pedro Domingos