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EMNLP
2008
15 years 7 months ago
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngram...
Bo-June Paul Hsu, James R. Glass
CVPR
2009
IEEE
17 years 1 months ago
Global Connectivity Potentials for Random Field Models
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions a...
Sebastian Nowozin, Christoph H. Lampert
ICCV
2009
IEEE
1069views Computer Vision» more  ICCV 2009»
16 years 11 months ago
An efficient algorithm for Co-segmentation
This paper is focused on the Co-segmentation problem [1] – where the objective is to segment a similar object from a pair of images. The background in the two images may be ar...
Dorit S. Hochbaum, Vikas Singh
CVPR
2001
IEEE
16 years 8 months ago
A Topology Preserving Deformable Model Using Level Sets
Active contour and surface models, also known as deformable models, constitute a class of powerful segmentation techniques. Geometric deformable models implemented via level-set m...
Xiao Han, Chenyang Xu, Jerry L. Prince
CVPR
2005
IEEE
16 years 8 months ago
MosaicShape: Stochastic Region Grouping with Shape Prior
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
Jingbin Wang, Erdan Gu, Margrit Betke