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IANDC
2008
141views more  IANDC 2008»
15 years 7 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 11 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...
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 5 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 9 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»
16 years 1 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