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» Implicit Wiener Series for Higher-Order Image Analysis
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NIPS
2004
13 years 6 months ago
Implicit Wiener Series for Higher-Order Image Analysis
The computation of classical higher-order statistics such as higher-order moments or spectra is difficult for images due to the huge number of terms to be estimated and interprete...
Matthias O. Franz, Bernhard Schölkopf
JMLR
2011
175views more  JMLR 2011»
12 years 11 months ago
Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data
This review focuses on dynamic causal analysis of functional magnetic resonance (fMRI) data to infer brain connectivity from a time series analysis and dynamical systems perspecti...
Alard Roebroeck, Anil K. Seth, Pedro A. Valdes-Sos...
CAIP
1999
Springer
13 years 9 months ago
Shift Detection by Restoration
In this paper an approach is presented for robust shift detection of two given images. The new unifying idea is that we determine a shifted delta impulse using some well-known res...
Herbert Süße, Klaus Voss, Wolfgang Ortm...
ICIP
1999
IEEE
13 years 9 months ago
The Shape of Illusory Figures
We have been developing a stochastic model for figure-ground separation[9][3][12]. The model selects/constructs theforeground with preferenceforfigures with "moreconvex"...
Davi Geiger, Krishnan Kumaran, Hsing-Kuo Pao, Nava...
ISBI
2008
IEEE
14 years 5 months ago
An information-based clustering approach for fMRI activation detection
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
Lijun Bai, Wei Qin, Jimin Liang, Jie Tian