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» The complexity of stochastic sequences
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TIT
1998
123views more  TIT 1998»
14 years 11 months ago
The Minimum Description Length Principle in Coding and Modeling
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
Andrew R. Barron, Jorma Rissanen, Bin Yu
ISBI
2006
IEEE
16 years 14 days ago
Complex wavelets for registration of tagged MRI sequences
Tagged Magnetic Resonance Imaging (MRI) is currently the reference MR modality for myocardial motion and strain analysis. Mutual Information (MI) based non rigid registration has ...
Estanislao Oubel, Alejandro F. Frangi, Alfred O. H...
ECCV
2002
Springer
16 years 1 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
INFOCOM
2010
IEEE
14 years 10 months ago
Resource Allocation over Network Dynamics without Timescale Separation
—We consider a widely applicable model of resource allocation where two sequences of events are coupled: on a continuous time axis (t), network dynamics evolve over time. On a di...
Alexandre Proutiere, Yung Yi, Tian Lan, Mung Chian...
KDD
1997
ACM
106views Data Mining» more  KDD 1997»
15 years 3 months ago
Clustering Sequences of Complex Objects
Sequential Data This paper is about the unsuperviseddiscovery of patterns in sequencesof compositeobjects. A compositeobject may be describedas a sequenceof other, simpler data. In...
A. Ketterlin