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» Learning minimal abstractions
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95
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ICPR
2008
IEEE
16 years 1 months ago
Texture classification with minimal training images
The objective of this work is classifying texture from a single image under unknown lighting conditions. The current and successful approach to this task is to treat it as a stati...
Alireza Tavakoli Targhi, Jan-Mark Geusebroek, Andr...
100
Voted
COLT
2004
Springer
15 years 4 months ago
Minimizing Regret with Label Efficient Prediction
We investigate label efficient prediction, a variant, proposed by Helmbold and Panizza, of the problem of prediction with expert advice. In this variant, the forecaster, after gues...
Nicolò Cesa-Bianchi, Gábor Lugosi, G...
97
Voted
CADE
2006
Springer
16 years 23 days ago
Inferring Network Invariants Automatically
Abstract. Verification by network invariants is a heuristic to solve uniform verification of parameterized systems. Given a system P, a network invariant for P is that abstracts th...
Olga Grinchtein, Martin Leucker, Nir Piterman
INTERACT
2003
15 years 1 months ago
Layering a Minimal Interface
: This paper reports on a software tutorial designed according to minimalist principles. The design extends minimalism beyond paper-based instructions to computer-based interface, ...
Frank Vetere, Steve Howard
PAKDD
2000
ACM
100views Data Mining» more  PAKDD 2000»
15 years 4 months ago
Discovery of Relevant Weights by Minimizing Cross-Validation Error
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano