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» The Def-inite Approach to Dependency Analysis
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ICCV
2009
IEEE
15 years 1 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
ATAL
2007
Springer
14 years 2 months ago
Towards using multiple cues for robust object recognition
A robot’s ability to assist humans in a variety of tasks, e.g. in search and rescue or in a household, heavily depends on the robot’s reliable recognition of the objects in th...
Sarah Aboutalib, Manuela M. Veloso
CIKM
2007
Springer
14 years 2 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
EJC
2008
13 years 10 months ago
Center Fragments for Upscaling and Verification in Database Semantics
The notion of a fragment was coined by Montague 1974 to illustrate the formal handling of certain puzzles, such as de dicto/de re, in a truth-conditional semantics for natural lan...
Roland Hausser
IJCAI
2007
13 years 10 months ago
Document Summarization Using Conditional Random Fields
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng ...