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IDEAL
2004
Springer
15 years 10 months ago
Dimensionality Reduction with Image Data
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We pro...
Mónica Benito, Daniel Peña
172
Voted
JMLR
2010
198views more  JMLR 2010»
15 years 3 months ago
On Learning with Integral Operators
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
AIR
2005
120views more  AIR 2005»
15 years 4 months ago
Rascal: A Recommender Agent for Agile Reuse
As software organisations mature, their repositories of reusable software components from previous projects will also grow considerably. Remaining conversant with all components in...
Frank McCarey, Mel Ó Cinnéide, Nicho...
CVPR
2012
IEEE
13 years 7 months ago
Hierarchical face parsing via deep learning
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of fa...
Ping Luo, Xiaogang Wang, Xiaoou Tang
171
Voted
SCS
2003
15 years 5 months ago
Safety Assurance Contracts for Integrated Modular Avionics
This paper describes a method for performing safety analysis on an Integrated Modular Avionics system in a manner which supports the incremental development and change of system c...
Philippa Conmy, Mark Nicholson, John A. McDermid