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» Modeling Signs Using Functional Data Analysis
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ICIP
2005
IEEE
14 years 9 months ago
A likelihood function for block-based motion analysis
In this paper, the computation of likelihood of block motion candidates is considered. The method is based on the evaluation of the sum of squared differences (SSD) measure for lo...
Janne Heikkilä, Olli Silvén, Pekka San...
ACMSE
2006
ACM
14 years 1 months ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 8 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
ICPR
2002
IEEE
14 years 8 months ago
Fractional Component Analysis (FCA) for Mixed Signals
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
Asanobu Kitamoto
ICDT
2007
ACM
185views Database» more  ICDT 2007»
14 years 1 months ago
Characterization of the Interaction of XML Functional Dependencies with DTDs
With the rise of XML as a standard model of data exchange, XML functional dependencies (XFDs) have become important to areas such as key analysis, document normalization, and data ...
Lucja Kot, Walker M. White