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TIP
2008
69views more  TIP 2008»
15 years 4 months ago
An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data
We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame...
Johnathan M. Bardsley
TNN
2008
119views more  TNN 2008»
15 years 4 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
CGF
2005
133views more  CGF 2005»
15 years 4 months ago
Constrained Visualization Using the Shepard Interpolation Family
This paper discusses the problem of visualizing data where there are underlying constraints that must be preserved. For example, we may know that the data are inherently positive....
Ken W. Brodlie, Muhammed Rafiq Asim, Keith Unswort...
JNCA
2007
143views more  JNCA 2007»
15 years 4 months ago
Detecting feature interactions in CPL
An approach for detecting feature interactions in IETF’s Call Processing Language (CPL) scripts is presented. The approach is logic based in the sense that it uses a logic repre...
Yiqun Xu, Luigi Logrippo, Jacques Sincennes
TSMC
2008
122views more  TSMC 2008»
15 years 4 months ago
A Geometric Approach to the Theory of Evidence
In this paper, we propose a geometric approach to the theory of evidence based on convex geometric interpretations of its two key notions of belief function (b.f.) and Dempster...
Fabio Cuzzolin