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97
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MICCAI
2006
Springer
15 years 11 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim
70
Voted
HT
1991
ACM
15 years 1 months ago
Implementing Hypertext Database Relationships through Aggregations and Exceptions
In order to combine hypertext with database facilities, we show how to extract an effective storage structure from given instance relationships. The schema of the structure recogn...
Yoshinori Hara, Arthur M. Keller, Gio Wiederhold
101
Voted
EGITALY
2006
14 years 11 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
ICIP
2004
IEEE
15 years 12 months ago
An information theoretic framework for image segmentation
In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogr...
Jaume Rigau, Miquel Feixas, Mateu Sbert
91
Voted
ICASSP
2010
IEEE
14 years 10 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock