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» Categorization using semi-supervised clustering
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IJCAI
2003
13 years 9 months ago
Coherent Keyphrase Extraction via Web Mining
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categorizing, clustering, highlighting, browsing, and searching. The task of automatic ...
Peter D. Turney
DL
1998
Springer
111views Digital Library» more  DL 1998»
13 years 11 months ago
SONIA: A Service for Organizing Networked Information Autonomously
The recent explosion of on-line information in Digital Libraries and on the World Wide Web has given rise to a number of query-based search engines and manually constructed topica...
Mehran Sahami, Salim Yusufali, Michelle Q. Wang Ba...
CVPR
2011
IEEE
13 years 5 months ago
Fast Unsupervised Ego-Action Learning for First-person Sports Videos
Portable high-quality sports cameras (e.g. head or helmet mounted) built for recording dynamic first-person video footage are becoming a common item among many sports enthusiasts...
Kris Kitani, Yoichi Sato, Takahiro Okabe, Akihiro ...
ECCV
2008
Springer
14 years 9 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
WWW
2007
ACM
14 years 8 months ago
Identifying and discriminating between web and peer-to-peer traffic in the network core
Traffic classification is the ability to identify and categorize network traffic by application type. In this paper, we consider the problem of traffic classification in the netwo...
Jeffrey Erman, Anirban Mahanti, Martin F. Arlitt, ...