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» On the temporal dimension of search
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ECCV
2010
Springer
15 years 6 months ago
Maximum Margin Distance Learning for Dynamic Texture Recognition
The range space of dynamic textures spans spatiotemporal phenomena that vary along three fundamental dimensions: spatial texture, spatial texture layout, and dynamics. By describin...
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 7 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
CORR
2008
Springer
114views Education» more  CORR 2008»
15 years 1 months ago
Modeling Time in Computing: A Taxonomy and a Comparative Survey
The increasing relevance of areas such as real-time and embedded systems, pervasive computing, hybrid systems control, and biological and social systems modeling is bringing a gro...
Carlo A. Furia, Dino Mandrioli, Angelo Morzenti, M...
ICDE
2001
IEEE
141views Database» more  ICDE 2001»
16 years 2 months ago
TAR: Temporal Association Rules on Evolving Numerical Attributes
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 6 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma