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» A Method for Dynamic Clustering of Data
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SPEECH
1998
118views more  SPEECH 1998»
15 years 6 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
164
Voted
VLDB
2005
ACM
124views Database» more  VLDB 2005»
16 years 8 days ago
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions
In an “uncertain database”, an object o is associated with a multi-dimensional probability density function (pdf), which describes the likelihood that o appears at each positi...
Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay N...
GEOINFO
2007
15 years 8 months ago
Model Selection for a Class of Spatio-temporal Models for Areal Data
Abstract. We present a method to perform model selection based on predictive density in a class of spatio-temporal dynamic generalized linear models for areal data. These models as...
Juan C. Vivar, Marco A. R. Ferreira
WSCG
2003
145views more  WSCG 2003»
15 years 8 months ago
Analysis of Four-Dimensional Cardiac Data Sets Using Skeleton-Based Segmentation
Computer-aided analysis of four-dimensional tomography data has become an important tool in modern cardiology. In order to examine the capability and health of a patient’s cardi...
André Neubauer, Rainer Wegenkittl
ICASSP
2011
IEEE
14 years 10 months ago
Modified embedding for multi-regime detection in nonstationary streaming data
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
Evan Kriminger, José Carlos Príncipe...