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146
Voted
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 4 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
148
Voted
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
15 years 9 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
165
Voted
ASIAN
2004
Springer
180views Algorithms» more  ASIAN 2004»
15 years 9 months ago
Counting by Coin Tossings
Abstract. This text is an informal review of several randomized algorithms that have appeared over the past two decades and have proved instrumental in extracting efficiently quant...
Philippe Flajolet
199
Voted
CVPR
2011
IEEE
14 years 10 months ago
Stable Multi-Target Tracking in Real-Time Surveillance Video
The majority of existing pedestrian trackers concentrate on maintaining the identities of targets, however systems for remote biometric analysis or activity recognition in surveill...
Ben Benfold and Ian Reid
300
Voted
CVPR
2012
IEEE
13 years 9 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or