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CSDA
2006
64views more  CSDA 2006»
14 years 11 months ago
Time-frequency analysis - G
Methods such as wavelets and M-stationary process have been developed to analyze the time-frequency properties of a process where frequency changes with time. In certain circumsta...
Huiping Jiang, Henry L. Gray, Wayne A. Woodward
101
Voted
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada
DMIN
2006
120views Data Mining» more  DMIN 2006»
15 years 1 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
ICASSP
2010
IEEE
14 years 11 months ago
Fast signal analysis and decomposition on graphs using the Sparse Matrix Transform
Recently, the Sparse Matrix Transform (SMT) has been proposed as a tool for estimating the eigen-decomposition of high dimensional data vectors [1]. The SMT approach has two major...
Leonardo R. Bachega, Guangzhi Cao, Charles A. Boum...
104
Voted
TSP
2011
96views more  TSP 2011»
14 years 6 months ago
A Signal Processing Approach to Fourier Analysis of Ranking Data: The Importance of Phase
—Ranking data is a type of data obtained in some elections, in customer surveys, as well as from web search results. Such data may be considered as a type of signal defined on t...
Ramakrishna Kakarala