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NIPS
2008
14 years 11 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
ICML
2009
IEEE
15 years 10 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
CVPR
2007
IEEE
15 years 11 months ago
Large scale vision-based navigation without an accurate global reconstruction
Autonomous cars will likely play an important role in the future. A vision system designed to support outdoor navigation for such vehicles has to deal with large dynamic environme...
Albert Diosi, Anthony Remazeilles, François...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
15 years 10 months ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...
DEXA
2004
Springer
136views Database» more  DEXA 2004»
15 years 3 months ago
PC-Filter: A Robust Filtering Technique for Duplicate Record Detection in Large Databases
: In this paper, we will propose PC-Filter (PC stands for Partition Comparison), a robust data filter for approximately duplicate record detection in large databases. PC-Filter dis...
Ji Zhang, Tok Wang Ling, Robert M. Bruckner, Han L...