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ICML
2006
IEEE
16 years 7 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal
PAKDD
2010
ACM
117views Data Mining» more  PAKDD 2010»
15 years 11 months ago
BASSET: Scalable Gateway Finder in Large Graphs
Given a social network, who is the best person to introduce you to, say, Chris Ferguson, the poker champion? Or, given a network of people and skills, who is the best person to he...
Hanghang Tong, Spiros Papadimitriou, Christos Falo...
DCC
2010
IEEE
16 years 1 months ago
Lossless Data Compression via Substring Enumeration
We present a technique that compresses a string w by enumerating all the substrings of w. The substrings are enumerated from the shortest to the longest and in lexicographic order...
Danny Dubé, Vincent Beaudoin
ICDE
2009
IEEE
179views Database» more  ICDE 2009»
16 years 1 months ago
Self-Tuning, Bandwidth-Aware Monitoring for Dynamic Data Streams
— We present SMART, a self-tuning, bandwidth-aware monitoring system that maximizes result precision of continuous aggregate queries over dynamic data streams. While prior approa...
Navendu Jain, Praveen Yalagandula, Michael Dahlin,...
CVPR
2007
IEEE
16 years 8 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu