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» Evaluating algorithms that learn from data streams
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SIGIR
2008
ACM
14 years 10 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
ICUMT
2009
14 years 7 months ago
A scalable based multicast model for P2P Conferencing applications
Multicast conferencing is a rapidly-growing area of Internet use. Audio, video and other media such as shared whiteboard data can be distributed efficiently between groups of confe...
Mourad Amad, Zahir Haddad, Lachemi Khenous, Kamal ...
TASLP
2010
133views more  TASLP 2010»
14 years 4 months ago
Unsupervised Equalization of Lombard Effect for Speech Recognition in Noisy Adverse Environments
In the presence of environmental noise, speakers tend to adjust their speech production in an effort to preserve intelligible communication. The noise-induced speech adjustments, c...
Hynek Boril, John H. L. Hansen
EUROSYS
2007
ACM
15 years 7 months ago
Removing the memory limitations of sensor networks with flash-based virtual memory
Virtual memory has been successfully used in different domains to extend the amount of memory available to applications. We have adapted this mechanism to sensor networks, where,...
Andreas Lachenmann, Pedro José Marró...
CODES
2005
IEEE
15 years 3 months ago
CRAMES: compressed RAM for embedded systems
Memory is a scarce resource in many embedded systems. Increasing memory often increases packaging and cooling costs, size, and energy consumption. This paper presents CRAMES, an e...
Lei Yang, Robert P. Dick, Haris Lekatsas, Srimat T...
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