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» Very Large Scale Information Retrieval
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ACL
1992
13 years 10 months ago
SEXTANT: Exploring Unexplored Contexts for Semantic Extraction from Syntactic Analysis
For a very long time, it has been considered that the only way of automatically extracting similar groups of words from a text collection for which no semantic information exists ...
Gregory Grefenstette
GIR
2006
ACM
14 years 3 months ago
Detecting Geographical Serving Area of Web Resources
Most human activities occur around where the user is physically located. Knowing the geographical serving area of web resources, therefore, is very important for many web applicat...
Qi Zhang, Xing Xie, Lee Wang, Lihua Yue, Wei-Ying ...
INFOVIS
2005
IEEE
14 years 2 months ago
Parallel Sets: Visual Analysis of Categorical Data
The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical...
Fabian Bendix, Robert Kosara, Helwig Hauser
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
11 years 11 months ago
The untold story of the clones: content-agnostic factors that impact YouTube video popularity
Video dissemination through sites such as YouTube can have widespread impacts on opinions, thoughts, and cultures. Not all videos will reach the same popularity and have the same ...
Youmna Borghol, Sebastien Ardon, Niklas Carlsson, ...
ICCV
2003
IEEE
14 years 11 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann