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EDUTAINMENT
2006
Springer
14 years 1 months ago
Energy Matting
In this paper, we formulate the image matting as one of solving energy minimization problems. Our approach has the following advantages. First, the matte estimation is modeled usin...
Yu Guan, Xiao Liang, Zi'ang Ding, Yinan Fan, Wei C...
COLT
2008
Springer
13 years 12 months ago
Learning Coordinate Gradients with Multi-Task Kernels
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Yiming Ying, Colin Campbell
ACL
2008
13 years 11 months ago
Better Alignments = Better Translations?
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
Kuzman Ganchev, João Graça, Ben Task...
NIPS
2008
13 years 11 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
ACL
2006
13 years 11 months ago
Extracting Parallel Sub-Sentential Fragments from Non-Parallel Corpora
We present a novel method for extracting parallel sub-sentential fragments from comparable, non-parallel bilingual corpora. By analyzing potentially similar sentence pairs using a...
Dragos Stefan Munteanu, Daniel Marcu