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» Detection of Spatial Changes using Spatial Data Mining
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TMI
2008
136views more  TMI 2008»
13 years 8 months ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
François G. Meyer, Xilin Shen
ICIP
2008
IEEE
14 years 2 months ago
Generalized ELL for detecting and tracking through illumination model changes
In previous work, we developed the Illum-PF-MT, which is the PFMT idea applied to the problem of tracking temporally and spatially varying illumination change. In many practical p...
Amit Kale, Namrata Vaswani
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
14 years 1 months ago
Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
DAGM
2007
Springer
14 years 2 months ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
TSDM
2000
151views Data Mining» more  TSDM 2000»
13 years 11 months ago
Rough Sets in Spatio-temporal Data Mining
In this paper I define spatio-temporal regions as pairs consisting of a spatial and a temporal component and I define topological relations between them. Using the notion of rough ...
Thomas Bittner