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» Variability Models Must Not be Invariant!
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NEUROSCIENCE
2001
Springer
13 years 12 months ago
Recurrent Long-Range Interactions in Early Vision
Abstract. A general principle of cortical architecture is the bidirectional flow of information along feedforward and feedback connections. In the feedforward path, converging con...
Thorsten Hansen, Wolfgang Sepp, Heiko Neumann
CVPR
2005
IEEE
14 years 9 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super
TOMS
2010
106views more  TOMS 2010»
13 years 5 months ago
Computing Tutte Polynomials
The Tutte polynomial of a graph, also known as the partition function of the q-state Potts model, is a 2-variable polynomial graph invariant of considerable importance in both comb...
Gary Haggard, David J. Pearce, Gordon Royle
CIARP
2007
Springer
14 years 1 months ago
Multi-class Binary Object Categorization Using Blurred Shape Models
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
ECOOP
2005
Springer
14 years 1 months ago
Interprocedural Analysis for Privileged Code Placement and Tainted Variable Detection
In Java 2 and Microsoft .NET Common Language Runtime (CLR), trusted code has often been programmed to perform accessrestricted operations not explicitly requested by its untrusted ...
Marco Pistoia, Robert J. Flynn, Larry Koved, Vugra...