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» Object Detection using a Max-Margin Hough Transform
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WACV
2005
IEEE
14 years 28 days ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
TSP
2008
143views more  TSP 2008»
13 years 7 months ago
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar
Sparse signal representations and approximations from overcomplete dictionaries have become an invaluable tool recently. In this paper, we develop a new, heuristic, graph-structure...
Kush R. Varshney, Müjdat Çetin, John W...
CVPR
2012
IEEE
11 years 9 months ago
A data driven method for feature transformation
Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, u...
Mert Dikmen, Derek Hoiem, Thomas S. Huang
BIBE
2007
IEEE
208views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
The GPU on biomedical image processing for color and phenotype analysis
The computational power and memory bandwidth of graphics processing units (GPUs) have turned them into attractive platforms for general-purpose applications. In this paper, we expl...
Antonio Ruiz, Manuel Ujaldon, Jose Antonio Andrade...
VISSYM
2004
13 years 8 months ago
Accuracy Evaluation of Different Centerline Approximations of Blood Vessels
Accurate determination of the vessel axis is a prerequisite for automated visualization and quantification of artery diseases. This paper presents an evaluation of different metho...
Alexandra La Cruz