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ML
2007
ACM
144views Machine Learning» more  ML 2007»
13 years 9 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
IVC
2010
128views more  IVC 2010»
13 years 8 months ago
Online kernel density estimation for interactive learning
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Matej Kristan, Danijel Skocaj, Ales Leonardis
NC
2010
179views Neural Networks» more  NC 2010»
13 years 8 months ago
Representation before computation
My main objective is to point out a fundamental weakness in the conventional conception of computation and suggest a promising way out. This weakness is directly related to a gross...
Lev Goldfarb
ICSM
2003
IEEE
14 years 3 months ago
A Framework for Understanding Conceptual Changes in Evolving Source Code
As systems evolve, they become harder to understand because the implementation of concepts (e.g. business rules) becomes less coherent. To preserve source code comprehensibility, ...
Nicolas Gold, Andrew Mohan
CLA
2004
13 years 11 months ago
A Semi-automatic Method to Ontology Design by Using FCA
Ontology design is a complex and time-consuming process. It is extremely difficult for human experts to discover ontology from given data or texts. This paper presents a semi-autom...
Hele-Mai Haav