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KDD
2001
ACM
226views Data Mining» more  KDD 2001»
15 years 7 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
CHI
1997
ACM
15 years 7 months ago
Crowded Collaborative Virtual Environments
We introduce a framework for supporting crowds of participants in collaborative virtual environments (CVEs). The framework is realised as an extension to our previous spatial mode...
Steve Benford, Chris Greenhalgh, David Lloyd
ECML
2006
Springer
15 years 6 months ago
Sequence Discrimination Using Phase-Type Distributions
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
Jérôme Callut, Pierre Dupont
JNCA
2011
126views more  JNCA 2011»
14 years 10 months ago
Coordinated session-based admission control with statistical learning for multi-tier internet applications
Popular Internet applications deploy a multi-tier architecture, with each tier provisioning a certain functionality to its preceding tier. In this paper, we address the challengin...
Sireesha Muppala, Xiaobo Zhou
135
Voted
ICML
2007
IEEE
16 years 3 months ago
Trust region Newton methods for large-scale logistic regression
Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method t...
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi