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GFKL
2007
Springer
164views Data Mining» more  GFKL 2007»
13 years 11 months ago
Classification with Invariant Distance Substitution Kernels
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
Bernard Haasdonk, Hans Burkhardt
ICIAP
2005
ACM
14 years 7 months ago
A New Efficient Method for Producing Global Affine Invariants
This paper introduces a new efficient way for computing affine invariant features from gray-scale images. The method is based on a novel image transform which produces infinitely m...
Esa Rahtu, Janne Heikkilä, Mikko Salo
GI
2001
Springer
13 years 11 months ago
Specifying Component Invariants with OCL
The “Object Constraint Language” (OCL) offers a formal notation for constraining model elements in UML diagrams. OCL consists of a navigational expression language which, for ...
Rolf Hennicker, Hubert Baumeister, Alexander Knapp...
SIAMMAX
2010
123views more  SIAMMAX 2010»
13 years 2 months ago
Joint Spectral Characteristics of Matrices: A Conic Programming Approach
We propose a new approach to estimate the joint spectral radius and the joint spectral subradius of an arbitrary set of matrices. We first restrict our attention to matrices that ...
Vladimir Protasov, Raphaël M. Jungers, Vincen...
ENTCS
2006
145views more  ENTCS 2006»
13 years 7 months ago
Cooperation-based Invariants for OO Languages
In general, invariants may depend on the state of other objects. The approach introduced in this paper allows this for objects of mutually visible classes, in a way that supports ...
Ronald Middelkoop, Cornelis Huizing, Ruurd Kuiper,...