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» A Randomized Method for Integrated Exploration
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ESTIMEDIA
2008
Springer
13 years 11 months ago
Parallelization of belief propagation method on embedded multicore processors for stereo vision
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...
Chi-Hua Lai, Kun-Yuan Hsieh, Shang-Hon Lai, Jenq K...
COLING
2008
13 years 11 months ago
Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering
Word clustering is a conventional and important NLP task, and the literature has suggested two kinds of approaches to this problem. One is based on the distributional similarity a...
Nobuhiro Kaji, Masaru Kitsuregawa
IPSN
2011
Springer
13 years 1 months ago
Exploration of path space using sensor network geometry
In a sensor network there are many paths between a source and a destination. An efficient method to explore and navigate in the ‘path space’ can help many important routing p...
Ruirui Jiang, Xiaomeng Ban, Mayank Goswami, Wei Ze...
CVPR
2005
IEEE
14 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
ICDAR
2009
IEEE
13 years 7 months ago
Online Handwritten Japanese Character String Recognition Using Conditional Random Fields
This paper describes an online handwritten Japanese character string recognition system based on conditional random fields, which integrates the information of character recogniti...
Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa