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» A data driven method for feature transformation
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ICCV
2003
IEEE
16 years 6 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»
14 years 7 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
15 years 10 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
16 years 5 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
15 years 2 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