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SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 9 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
13 years 9 months ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
166
Voted
WISE
2000
Springer
15 years 11 months ago
A Whole Correlation Structure of Asymptotically Self-Similar Traffic in Communication Networks
A closed form of autocorrelation functions about asymptotically self-similar processes is presented. The verification shows that this form best the realtrajfic data on Ethernet in...
Ming Li, Weijia Jia, Wei Zhao
CGI
1998
IEEE
15 years 11 months ago
Graph-Based Surface Reconstruction Using Structures in Scattered Point Sets
We present an algorithm for the reconstruction of a surface from an unorganized set of points in space. The point data may be obtained from a laser range scanner or any other digi...
Robert Mencl, Heinrich Müller
CVPR
2010
IEEE
15 years 10 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...