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» Consistency of Feature Markov Processes
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CVPR
2007
IEEE
16 years 5 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
137
Voted
CVPR
2011
IEEE
14 years 10 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»
15 years 10 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...
124
Voted
ICIP
2009
IEEE
16 years 4 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»
15 years 9 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