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» On Feature Selection through Clustering
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SAC
2011
ACM
12 years 10 months ago
Hierarchical comments-based clustering
Information resources on the Web like videos, images, and documents are increasingly becoming more “social” through user engagement via commenting systems. These commenting sy...
Chiao-Fang Hsu, James Caverlee, Elham Khabiri
ICWSM
2008
13 years 9 months ago
Predicting Success and Failure in Weight Loss Blogs through Natural Language Use
We explore the emerging phenomenon of blogging about personal goals, and demonstrate how natural language processing tools can be used to uncover psychologically meaningful constr...
Cindy K. Chung, Clinton Jones, Alexander Liu, Jame...
EMMCVPR
2009
Springer
14 years 2 months ago
Clustering-Based Construction of Hidden Markov Models for Generative Kernels
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
ICPR
2006
IEEE
1292views computer vision» more  ICPR 2006»
14 years 9 months ago
Learning-Based License Plate Detection Using Global and Local Features
This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...
Huaifeng Zhang, Qiang Wu, Wenjing Jia, Xiangjian H...
ICDE
2004
IEEE
117views Database» more  ICDE 2004»
14 years 9 months ago
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
James Caverlee, Ling Liu, David Buttler