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» Method of Motion Data Processing Based on Manifold Learning
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COLT
2003
Springer
14 years 1 months ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri
ML
2011
ACM
179views Machine Learning» more  ML 2011»
13 years 3 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
RECOMB
2006
Springer
14 years 8 months ago
Simulating Protein Motions with Rigidity Analysis
Abstract. Protein motions, ranging from molecular flexibility to largescale conformational change, play an essential role in many biochemical processes. Despite the explosion in ou...
Shawna L. Thomas, Xinyu Tang, Lydia Tapia, Nancy M...
ICML
2007
IEEE
14 years 9 months ago
Entire regularization paths for graph data
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda