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» Feature versus model based noise robustness
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PR
2000
158views more  PR 2000»
13 years 7 months ago
Applying deformable templates for cell image segmentation
This paper presents an automatic method, based on the deformable template approach, for cell image segmentation under severe noise conditions. We de"ne a new methodology, div...
Antonio Garrido Carrillo, Nicolas Pérez de ...
ICASSP
2008
IEEE
14 years 2 months ago
AN EM-based probabilistic approach for Acoustic Echo Suppression
This paper introduces a new Acoustic Echo Suppression (AES) algorithm for suppressing the residual echo after the Acoustic Echo Canceller (AEC). By temporally segmenting the frequ...
Nilesh Madhu, Ivan Tashev, Alex Acero
IVC
2008
129views more  IVC 2008»
13 years 7 months ago
3D Motion from structures of points, lines and planes
In this article we propose a method for estimating the camera motion from a video-sequence acquired in the presence of general 3D structures. Solutions to this problem are commonl...
Andrea Dell'Acqua, Augusto Sarti, Stefano Tubaro
CVPR
2007
IEEE
14 years 9 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
WACV
2008
IEEE
14 years 2 months ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince