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» Markov Random Field Modeling in Computer Vision
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ECCV
2010
Springer
14 years 2 months ago
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...
IPMI
2011
Springer
13 years 12 days ago
Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
Dongfeng Han, John E. Bayouth, Qi Song, Aakant Tau...
VCBM
2010
13 years 3 months ago
A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds
We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. Th...
Frederic F. Leymarie, Ming-Ching Chang, Celina Imi...
RECOMB
2003
Springer
14 years 9 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
SPIESR
2001
160views Database» more  SPIESR 2001»
13 years 10 months ago
New frontiers for intelligent content-based retrieval
In this paper, we examine emerging frontiers in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the ...
Ana B. Benitez, John R. Smith