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CORR
2007
Springer
94views Education» more  CORR 2007»
15 years 5 months ago
Statistical tools to assess the reliability of self-organizing maps
Results of neural network learning are always subject to some variability, due to the sensitivity to initial conditions, to convergence to local minima, and, sometimes more dramat...
Eric de Bodt, Marie Cottrell, Michel Verleysen
IJON
2007
100views more  IJON 2007»
15 years 4 months ago
Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties
The blind source separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical independence between outputs. Since global maximization may...
Frédéric Vrins, Dinh-Tuan Pham
CVPR
2008
IEEE
16 years 7 months ago
Scale invariance without scale selection
In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our start...
Iasonas Kokkinos, Alan L. Yuille
ICSE
1999
IEEE-ACM
15 years 9 months ago
Lightweight Extraction of Object Models from Bytecode
A program’s object model captures the essence of its design. For some programs, no object model was developed during design; for others, an object model exists but may be out-of...
Daniel Jackson, Allison Waingold
MM
2010
ACM
162views Multimedia» more  MM 2010»
15 years 5 months ago
Interactive visual object search through mutual information maximization
Searching for small objects (e.g., logos) in images is a critical yet challenging problem. It becomes more difficult when target objects differ significantly from the query object...
Jingjing Meng, Junsong Yuan, Yuning Jiang, Nitya N...