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» A data driven method for feature transformation
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ICCV
2003
IEEE
14 years 9 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
BILDMED
2011
313views Algorithms» more  BILDMED 2011»
12 years 11 months ago
Automatic Multi-modal ToF/CT Organ Surface Registration
Abstract. In the field of image-guided liver surgery (IGLS), the initial registration of the intra-operative organ surface with preoperative tomographic image data is performed on...
Kerstin Müller, Sebastian Bauer, Jakob Wasza,...
ICASSP
2007
IEEE
14 years 2 months ago
Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data
Large intersubject variability is a well-described feature of fMRI studies, making inter-group inference, of critical importance for biological interpretation, difficult. Therefor...
Martin J. McKeown, Junning Li, Xuemei Huang, Z. Ja...
ICPR
2000
IEEE
14 years 8 months ago
Self-Calibration of a Stereo Rig in a Planar Scene by Data Combination
We present a very simple and effective method for eliminating the degeneracy inherent in a planar scene, and demonstrate its performance in a useful application -- that of binocul...
Joss Knight, Ian D. Reid
BMVC
2010
13 years 5 months ago
A Wavelet Based Local Descriptor for Human Action Recognition
In interest point based human action recognition, local descriptors are used to represent information in the neighbourhood around each extracted space-time interest point. The per...
Ling Shao, Ruoyun Gao