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ALMOB
2007
170views more  ALMOB 2007»
14 years 10 months ago
A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectories
Understanding the protein folding mechanism remains a grand challenge in structural biology. In the past several years, computational theories in molecular dynamics have been empl...
Hui Yang, Srinivasan Parthasarathy, Duygu Ucar
AAAI
2000
14 years 11 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
NIPS
1996
14 years 11 months ago
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA
In the square linear blind source separation problem, one must nd a linear unmixing operator which can detangle the result xi(t) of mixing n unknown independent sources si(t) thro...
Barak A. Pearlmutter, Lucas C. Parra
ICML
2008
IEEE
15 years 10 months ago
A reproducing kernel Hilbert space framework for pairwise time series distances
A good distance measure for time series needs to properly incorporate the temporal structure, and should be applicable to sequences with unequal lengths. In this paper, we propose...
Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz ...
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 4 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...