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» Learning with Local and Global Consistency
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ECCV
2008
Springer
15 years 5 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
ICPR
2004
IEEE
16 years 5 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
ACL
2009
15 years 2 months ago
Coordinate Structure Analysis with Global Structural Constraints and Alignment-Based Local Features
We propose a hybrid approach to coordinate structure analysis that combines a simple grammar to ensure consistent global structure of coordinations in a sentence, and features bas...
Kazuo Hara, Masashi Shimbo, Hideharu Okuma, Yuji M...
3DIM
1999
IEEE
15 years 8 months ago
Computing Consistent Normals and Colors from Photometric Data
We present a method for computing normals and colors from multiple sets of photometric data, that are consistent with each other and an underlying lower resolution mesh. Normals a...
Holly E. Rushmeier, Fausto Bernardini
NN
2000
Springer
123views Neural Networks» more  NN 2000»
15 years 3 months ago
Local minima and plateaus in hierarchical structures of multilayer perceptrons
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
Kenji Fukumizu, Shun-ichi Amari