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» Approximate algorithms for neural-Bayesian approaches
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TIT
1998
69views more  TIT 1998»
14 years 9 months ago
Relationships Between the Constant Modulus and Wiener Receivers
— The Godard or the constant modulus algorithm (CMA) is an effective technique for blind receiver design in communications. However, due to the complexity of the Constant Modulus...
Hanks H. Zeng, Lang Tong, C. Richard Johnson Jr.
VLDB
2002
ACM
126views Database» more  VLDB 2002»
14 years 9 months ago
Exact Indexing of Dynamic Time Warping
The problem of indexing time series has attracted much interest. Most algorithms used to index time series utilize the Euclidean distance or some variation thereof. However, it has...
Eamonn J. Keogh
MP
2007
100views more  MP 2007»
14 years 9 months ago
Mixed-Integer Cuts from Cyclic Groups
We analyze a separation procedure for Mixed-Integer Programs related to the work of Gomory and Johnson on interpolated subadditive functions. This approach has its roots in the Go...
Matteo Fischetti, Cristiano Saturni
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 8 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
PVLDB
2008
116views more  PVLDB 2008»
14 years 9 months ago
Tighter estimation using bottom k sketches
Summaries of massive data sets support approximate query processing over the original data. A basic aggregate over a set of records is the weight of subpopulations specified as a ...
Edith Cohen, Haim Kaplan