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» Using Clustering Methods for Discovering Event Structures
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JMLR
2006
125views more  JMLR 2006»
15 years 3 months ago
A Linear Non-Gaussian Acyclic Model for Causal Discovery
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärin...
127
Voted
ICML
2010
IEEE
15 years 4 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
IPSN
2007
Springer
15 years 9 months ago
Sparse data aggregation in sensor networks
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively...
Jie Gao, Leonidas J. Guibas, Nikola Milosavljevic,...
VIS
2004
IEEE
195views Visualization» more  VIS 2004»
16 years 4 months ago
Flow Field Clustering via Algebraic Multigrid
We present a novel multiscale approach for flow visualization. We define a local alignment tensor that encodes a measure for alignment to the direction of a given flow field. This...
Michael Griebel, Tobias Preußer, Martin Rump...
120
Voted
KDD
2002
ACM
152views Data Mining» more  KDD 2002»
16 years 3 months ago
Multimedia Data Mining Framework For Raw Video Sequences
In this paper, we propose a general framework for real time video data mining to be applied to the raw videos (traffic videos, surveillance videos, etc.). We investigate whether t...
Jung-Hwan Oh, Babitha Bandi