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» A Framework for Entailed Relation Recognition
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COLT
2004
Springer
14 years 1 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
ICDAR
1999
IEEE
14 years 24 days ago
Character and Document Research in the Open Mind Initiative
We describe the Open Mind Initiative, a framework for large-scale collaborative efforts in building components of "intelligent" systems that address common-sense reasoni...
David G. Stork
ICASSP
2011
IEEE
13 years 6 days ago
An iterative least-squares technique for dereverberation
Some recent dereverberation approaches that have been effective for automatic speech recognition (ASR) applications, model reverberation as a linear convolution operation in the s...
Kshitiz Kumar, Bhiksha Raj, Rita Singh, Richard M....
ICASSP
2011
IEEE
13 years 7 days ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
14 years 3 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li