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» Invisible Learning in Online Systems
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2010
14 years 6 days ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
14 years 2 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
EDUTAINMENT
2006
Springer
14 years 1 months ago
Designing Social Navigation for a Virtual Community of Practice
Abstract. Social navigation in a community of practice (CoP) is an approach of locating information through increased social awareness. Designing support for social navigation requ...
Wen Xu, Karel Kreijns, Jun Hu
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
13 years 11 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 10 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li