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145
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IANDC
2008
141views more  IANDC 2008»
15 years 3 months ago
Graph connectivity, partial words, and a theorem of Fine and Wilf
The problem of computing periods in words, or finite sequences of symbols from a finite alphabet, has important applications in several areas including data compression, string se...
Francine Blanchet-Sadri, Deepak Bal, Gautam Sisodi...
CIDM
2009
IEEE
15 years 7 months ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
141
Voted
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 1 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
ECCV
2008
Springer
16 years 5 months ago
Keypoint Signatures for Fast Learning and Recognition
Abstract. Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the ...
Michael Calonder, Vincent Lepetit, Pascal Fua
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
15 years 10 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian