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MIAR
2008
IEEE
14 years 2 months ago
A Surface-Based Fractal Information Dimension Method for Cortical Complexity Analysis
In this paper, we proposed a new surface-based fractal information dimension (FID) method to quantify the cortical complexity. Unlike the traditional box-counting method to measure...
Yuanchao Zhang, Jiefeng Jiang, Lei Lin, Feng Shi, ...
AAAI
2012
11 years 10 months ago
Towards Discovering What Patterns Trigger What Labels
In many real applications, especially those involving data objects with complicated semantics, it is generally desirable to discover the relation between patterns in the input spa...
Yu-Feng Li, Ju-Hua Hu, Yuang Jiang, Zhi-Hua Zhou
BC
2005
84views more  BC 2005»
13 years 7 months ago
A computational model of monkey cortical grating cells
Grating cells were discovered in the V1 and V2 areas of the monkey visual cortex by von der Heydt et al. (1992). These cells responded vigorously to grating patterns of appropriate...
Tino Lourens, Emilia I. Barakova, Hiroshi G. Okuno...
MICCAI
2006
Springer
14 years 8 months ago
A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique
Abstract. In this paper, we present algorithms to automatically detect and match landmark curves on cortical surfaces to get an optimized brain conformal parametrization. First, we...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...
ICDE
2012
IEEE
208views Database» more  ICDE 2012»
11 years 10 months ago
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
—Traditional clustering algorithms identify just a single clustering of the data. Today’s complex data, however, allow multiple interpretations leading to several valid groupin...
Emmanuel Müller, Stephan Günnemann, Ines...