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» Improved thresholds for rank minimization
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SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
14 years 7 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
ANLP
2000
148views more  ANLP 2000»
13 years 9 months ago
Minimizing Word Error Rate in Textual Summaries of Spoken Language
Automatic generation of text summaries for spoken language faces the problem of containing incorrect words and passages due to speech recognition errors. This paper describes comp...
Klaus Zechner, Alex Waibel
COCO
2009
Springer
128views Algorithms» more  COCO 2009»
14 years 2 months ago
An Almost Optimal Rank Bound for Depth-3 Identities
—We show that the rank of a depth-3 circuit (over any field) that is simple, minimal and zero is at most O(k3 log d). The previous best rank bound known was 2O(k2 ) (log d)k−2...
Nitin Saxena, C. Seshadhri
ICASSP
2009
IEEE
14 years 2 months ago
Psychoacoustically constrained and distortion minimized speech enhancement algorithm
A psychoacoustically constrained and distortion minimized speech enhancement algorithm is considered. In general, noise reduction leads to speech distortion, and thus, the goal of...
Seokhwan Jo, Chang D. Yoo
ICALP
2010
Springer
14 years 13 days ago
Thresholded Covering Algorithms for Robust and Max-min Optimization
The general problem of robust optimization is this: one of several possible scenarios will appear tomorrow, but things are more expensive tomorrow than they are today. What should...
Anupam Gupta, Viswanath Nagarajan, R. Ravi