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PAMI
2011
15 years 1 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez
ICPR
2000
IEEE
16 years 7 months ago
The Response of Texture Features to Illuminant Rotation
Rotation of the illuminant source about a subject textured surface can cause catastrophic failure of texture classification schemes. This is due to the variation of texture featur...
Mike J. Chantler, Ged McGunnigle
CRYPTO
2009
Springer
131views Cryptology» more  CRYPTO 2009»
16 years 1 months ago
Fast Cryptographic Primitives and Circular-Secure Encryption Based on Hard Learning Problems
The well-studied task of learning a linear function with errors is a seemingly hard problem and the basis for several cryptographic schemes. Here we demonstrate additional applicat...
Benny Applebaum, David Cash, Chris Peikert, Amit S...
SEMWEB
2005
Springer
16 years 5 days ago
Modeling the Non-Expected Choice: A Weighted Utility Logit
This work derives and simulates two choice models applying the weighted utility theory, a generalization of the expected utility theory. It shows one set of assumptions, which jus...
Pia Koskenoja
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
16 years 2 days ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher