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SIGIR
2006
ACM
16 years 27 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
DEEC
2005
IEEE
16 years 17 days ago
Using Semantic Information to Improve Transparent Query Caching for Dynamic Content Web Sites
In this paper, we study the use of semantic information to improve performance of transparent query caching for dynamic content web sites. We observe that in dynamic content web a...
Gokul Soundararajan, Cristiana Amza
JCDL
2005
ACM
161views Education» more  JCDL 2005»
16 years 15 days ago
Downloading textual hidden web content through keyword queries
An ever-increasing amount of information on the Web today is available only through search interfaces: the users have to type in a set of keywords in a search form in order to acc...
Alexandros Ntoulas, Petros Zerfos, Junghoo Cho
MM
2005
ACM
146views Multimedia» more  MM 2005»
16 years 15 days ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
SAC
2005
ACM
16 years 15 days ago
A hybrid approach for multiresolution modeling of large-scale scientific data
Simulations of complex scientific phenomena involve the execution of massively parallel computer programs. These simulation programs generate large-scale multidimensional data set...
Tina Eliassi-Rad, Terence Critchlow
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