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CVPR
2007
IEEE
15 years 12 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
ECCC
2000
140views more  ECCC 2000»
14 years 9 months ago
Randomized Approximation Schemes for Scheduling Unrelated Parallel Machines
We consider the problem of Scheduling n Independent Jobs on m Unrelated Parallel Machines, when the number of machines m is xed. We address the standard problem of minimizing the ...
Pavlos Efraimidis, Paul G. Spirakis
ACL
1997
14 years 11 months ago
Approximating Context-Free Grammars with a Finite-State Calculus
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least contextfree complexity, for applications such as speech processing in...
Edmund Grimley-Evans
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
15 years 10 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
ICEIS
2009
IEEE
15 years 4 months ago
Relaxing XML Preference Queries for Cooperative Retrieval
Today XML is an essential technology for knowledge management within enterprises and dissemination of data over the Web. Therefore the efficient evaluation of XML queries has been ...
SungRan Cho, Wolf-Tilo Balke