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» Unsupervised feature selection using a neuro-fuzzy approach
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PRL
2010
181views more  PRL 2010»
15 years 4 months ago
Gait recognition without subject cooperation
The strength of gait, compared to other biometrics, is that it does not require cooperative subjects. Previoius gait recognition approaches were evaluated using a gallery set cons...
Khalid Bashir, Tao Xiang, Shaogang Gong
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 6 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
IJBRA
2010
133views more  IJBRA 2010»
15 years 3 months ago
Scalable biomedical Named Entity Recognition: investigation of a database-supported SVM approach
This paper explores the scalability issues associated with solving the Named Entity Recognition (NER) problem using Support Vector Machines (SVM) and high-dimensional features and ...
Mona Soliman Habib, Jugal Kalita
CIRA
2007
IEEE
151views Robotics» more  CIRA 2007»
16 years 22 days ago
Image Clustering Using Visual and Text Keywords
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
Rajeev Agrawal, Changhua Wu, William I. Grosky, Fa...