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PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
JMLR
2011
187views more  JMLR 2011»
13 years 2 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
MICCAI
2007
Springer
14 years 1 months ago
Shape-Based Myocardial Contractility Analysis Using Multivariate Outlier Detection
Abstract. This paper presents a new approach to regional myocardial contractility analysis based on inter-landmark motion (ILM) vectors and multivariate outlier detection. The prop...
Karim Lekadir, Niall Keenan, Dudley Pennell, Guang...
NIPS
2008
13 years 9 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
TVCG
2012
210views Hardware» more  TVCG 2012»
11 years 10 months ago
Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates
—In this paper, we present an effective and scalable system for multivariate volume data visualization and analysis with a novel transfer function interface design that tightly c...
Hanqi Guo, He Xiao, Xiaoru Yuan