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UAI
2003
13 years 9 months ago
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
Darya Chudova, Scott Gaffney, Padhraic Smyth
TVCG
2008
140views more  TVCG 2008»
13 years 7 months ago
Efficient Morse Decompositions of Vector Fields
Vector field analysis plays a crucial role in many engineering applications, such as weather prediction, tsunami and hurricane study, and airplane and automotive design. Existing ...
Guoning Chen, Konstantin Mischaikow, Robert S. Lar...
JIIS
2002
119views more  JIIS 2002»
13 years 7 months ago
Spatio-Temporal Data Mining for Typhoon Image Collection
Our research aims at discovering useful knowledge from the large collection of satellite images of typhoons using data mining approaches. We first introduce the creation of the typ...
Asanobu Kitamoto
ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 7 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
IAJIT
2010
150views more  IAJIT 2010»
13 years 6 months ago
Optimal DSP Based Integer Motion Estimation Implementation for H.264/AVC Baseline Encoder
: The coding gain of the H.264/AVC video encoder mainly comes from the new incorporated prediction tools. However, their enormous computation and ultrahigh memory bandwidth are the...
Imen Werda, Haithem Chaouch, Amine Samet, Mohamed ...