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ICASSP
2011
IEEE
14 years 10 months ago
Efficient discrete fractional Hirschman optimal transform and its application
All of the existing N-point discrete fractional signal transforms require O(N2 ) computation complexity. In this paper, we propose a new discrete fractional signal transform whose...
Wen-Liang Hsue, Soo-Chang Pei, Jian-Jiun Ding
ESA
2009
Springer
346views Algorithms» more  ESA 2009»
16 years 1 months ago
Hash, Displace, and Compress
A hash function h, i.e., a function from the set U of all keys to the range range [m] = {0, . . . , m − 1} is called a perfect hash function (PHF) for a subset S ⊆ U of size n ...
Djamal Belazzougui, Fabiano C. Botelho, Martin Die...
ICDE
2007
IEEE
119views Database» more  ICDE 2007»
16 years 1 months ago
Stream Variables: A Quick but not Dirty SQL Extension for Continuous Queries
The ability to query data streams is of increasing importance and has been identified as a crucial element for modern organizations and agencies. This paper identifies a class o...
Damianos Chatziantoniou, Yannis Sotiropoulos
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
16 years 27 days ago
Regular expression generation through grammatical evolution
This study investigates automatic regular expression generation using Grammatical Evolution. The software implementation is based on a subset of POSIX regular expression rules. Fo...
Ahmet Cetinkaya
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
16 years 23 days ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott