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TRECVID
2008
15 years 8 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
15 years 5 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...
JNCA
2011
126views more  JNCA 2011»
15 years 2 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
GEOS
2009
Springer
16 years 1 days ago
Bottom-Up Gazetteers: Learning from the Implicit Semantics of Geotags
As directories of named places, gazetteers link the names to geographic footprints and place types. Most existing gazetteers are managed strictly top-down: entries can only be adde...
Carsten Keßler, Patrick Maué, Jan Tor...
ELPUB
1999
ACM
15 years 11 months ago
Learning Curves: Managing Smooth Product Development Cycles in Non-Print Environments
and abstract entry. But since the burgeoning of the scholarly literature since World War II, these processes had become well-known and expertly done by most organizations in the pu...
Jill O'Neill, Chris Leonard