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» Formalization of Time and Space
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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
16 years 1 months ago
A new evolutionary method for time series forecasting
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paul...
SSDBM
1999
IEEE
124views Database» more  SSDBM 1999»
15 years 11 months ago
An Indexing Scheme for Fast Similarity Search in Large Time Series Databases
We address the problem of similarity search in large time series databases. We introduce a novel indexing algorithm that allows faster retrieval. The index is formed by creating b...
Eamonn J. Keogh, Michael J. Pazzani
SPATIALCOGNITION
2010
Springer
15 years 6 months ago
Implicit Spatial Length Modulates Time Estimates, But Not Vice Versa
How are space and time represented in the human mind? Here we evaluate two theoretical proposals, one suggesting a symmetric relationship between space and time (ATOM theory) and t...
Roberto Bottini, Daniel Casasanto
MLMI
2007
Springer
16 years 1 months ago
Binaural Speech Separation Using Recurrent Timing Neural Networks for Joint F0-Localisation Estimation
A speech separation system is described in which sources are represented in a joint interaural time difference-fundamental frequency (ITD-F0) cue space. Traditionally, recurrent t...
Stuart N. Wrigley, Guy J. Brown
VISSYM
2007
15 years 10 months ago
Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data
Time series are a data type of utmost importance in many domains such as business management and service monitoring. We address the problem of visualizing large time-related data ...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...