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» A Markov random field model for term dependencies
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Presentation
1518views
16 years 10 months ago
Stochastic Segmentation of Blood Vessels From Time-of-Flight
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna
79
Voted
ICIP
2007
IEEE
15 years 4 months ago
Fast Blotch Detection Algorithm for Degraded Film Sequences Based on MRF Models
This paper proposes a fast blotch detection algorithm based on a Markov Random Field (MRF) model with less computational load and with lower false alarm rate than the existing MRF...
Sang-Churl Nam, Masahide Abe, Masayuki Kawamata
ECML
2006
Springer
15 years 1 months ago
TildeCRF: Conditional Random Fields for Logical Sequences
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
Bernd Gutmann, Kristian Kersting
CVPR
2005
IEEE
15 years 11 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
90
Voted
ICDM
2009
IEEE
164views Data Mining» more  ICDM 2009»
15 years 4 months ago
iTopicModel: Information Network-Integrated Topic Modeling
—Document networks, i.e., networks associated with text information, are becoming increasingly popular due to the ubiquity of Web documents, blogs, and various kinds of online da...
Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu