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JIPS
2010
154views more  JIPS 2010»
15 years 2 months ago
Mining Spatio-Temporal Patterns in Trajectory Data
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Juyoung Kang 0002, Hwan-Seung Yong
PR
2011
14 years 10 months ago
A survey of multilinear subspace learning for tensor data
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
16 years 8 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
MICCAI
2007
Springer
16 years 1 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
VISUALIZATION
2005
IEEE
16 years 1 months ago
The Visualization Process: The Path from Data to Insight
While previous Visualization panels have focused on different methods for scientific visualization, this panel focuses on the process of transforming data into insight. The overa...
Kelly P. Gaither, David S. Ebert, Daniel Weiskopf,...