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IJON
2008
121views more  IJON 2008»
15 years 4 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 5 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
ECCV
1992
Springer
16 years 5 months ago
Determining Three-Dimensional Shape from Orientation and Spatial Frequency Disparities
Abstract. Binocular di erences in orientation and foreshortening are systematically related to surface slant and tilt and could potentially be exploited by biological and machine v...
David G. Jones, Jitendra Malik
CVPR
2009
IEEE
16 years 11 months ago
Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images
Automated detection of lesions in retinal images can assist in early diagnosis and screening of a common disease: Diabetic Retinopathy. A robust and computationally efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...
ICCV
2009
IEEE
16 years 9 months ago
Deformable Model Fitting with a Mixture of Local Experts
Local experts have been used to great effect for fitting deformable models to images. Typically, the best location in an image for the deformable model’s landmarks are found t...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn