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» Using symbolic objects to cluster web documents
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CVPR
2006
IEEE
15 years 11 months ago
Using Dependent Regions for Object Categorization in a Generative Framework
"Bag of words" models have enjoyed much attention and achieved good performances in recent studies of object categorization. In most of these works, local patches are mo...
Gang Wang, Ye Zhang, Fei-Fei Li 0002
WWW
2011
ACM
14 years 4 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
55
Voted
PODS
2005
ACM
115views Database» more  PODS 2005»
15 years 9 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
62
Voted
WWW
2008
ACM
15 years 10 months ago
Which "Apple" are you talking about ?
In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed woul...
Mandar Rahurkar, Dan Roth, Thomas S. Huang
ICMCS
1999
IEEE
131views Multimedia» more  ICMCS 1999»
15 years 2 months ago
Integrating Web Resources and Lexicons into a Natural Language Query System
The START system responds to natural language queries with answers in text, pictures, and other media. START's sentence-level natural language parsing relies on a number of m...
Boris Katz, Deniz Yuret, Jimmy J. Lin, Sue Felshin...