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CVPR
2010
IEEE
15 years 8 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
ICASSP
2009
IEEE
15 years 6 months ago
Consistent recovery of stimuli encoded with a neural ensemble
We consider the problem of reconstructing finite energy stimuli from a finite number of contiguous spikes. The reconstructed signal satisfies a consistency condition: when pass...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
15 years 3 months ago
A Symmetric Transformation for LDA-based Face Verification
One of the major problem in face verification is to deal with a few number of images per person to train the system. A solution to that problem is to generate virtual samples from...
Sébastien Marcel
97
Voted
NIPS
2004
15 years 1 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
IJCAI
1989
15 years 1 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas