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» Study of Challenges and Techniques in Large Scale Matching
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ICTAI
2007
IEEE
15 years 4 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
JMLR
2006
105views more  JMLR 2006»
14 years 10 months ago
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
Luca Zanni, Thomas Serafini, Gaetano Zanghirati
PAMI
2010
219views more  PAMI 2010»
14 years 8 months ago
FRVT 2006 and ICE 2006 Large-Scale Experimental Results
— This paper describes the large-scale experimental results from the Face Recognition Vendor Test (FRVT) 2006 and the Iris Challenge Evaluation (ICE) 2006. The FRVT 2006 looks at...
P. Jonathon Phillips, W. Todd Scruggs, Alice J. O'...
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UAI
2001
14 years 11 months ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
DEXA
2007
Springer
150views Database» more  DEXA 2007»
15 years 4 months ago
Sequence Alignment as a Database Technology Challenge
Abstract. Sequence alignment is an important task for molecular biologists. Because alignment basically deals with approximate string matching on large biological sequence collecti...
Hans Philippi