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» On Feature Extraction via Kernels
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135
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VIS
2004
IEEE
140views Visualization» more  VIS 2004»
16 years 4 months ago
Vector Wavelet Thresholding for Vector Field Denoising
Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that ...
Michel A. Westenberg, Thomas Ertl
ICONIP
2007
15 years 4 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...
129
Voted
TITB
2011
217views more  TITB 2011»
14 years 10 months ago
Phase-Based Level Set Segmentation of Ultrasound Images
— Ultrasound images segmentation is a difficult problem due to speckle noise, low contrast and local changes of intensity. Intensity based methods do not perform particularly we...
Ahror Belaid, Djamal Boukerroui, Yves Maingourd, J...
140
Voted
CVPR
2012
IEEE
13 years 5 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
IROS
2006
IEEE
140views Robotics» more  IROS 2006»
15 years 9 months ago
Developing a non-intrusive biometric environment
— The development of large scale biometric systems requires experiments to be performed on large amounts of data. Existing capture systems are designed for fixed experiments and...
Lee Middleton, David K. Wagg, Alex I. Bazin, John ...