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ESANN
2000
15 years 5 months ago
A statistical model selection strategy applied to neural networks
In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
Joaquín Pizarro Junquera, Elisa Guerrero V&...
TSP
2010
14 years 10 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
ICPR
2004
IEEE
16 years 5 months ago
Selecting Models from Videos for Appearance-Based Face Recognition
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...
Abdenour Hadid, Matti Pietikäinen
ISLPED
1999
ACM
236views Hardware» more  ISLPED 1999»
15 years 8 months ago
Modeling and automating selection of guarding techniques for datapath elements
While guarded evaluation has proven an effective energy saving technique in arithmetic circuits, good methodologies do not exist for determining when and how to guard for maximal ...
William E. Dougherty, Donald E. Thomas
IJCV
2006
116views more  IJCV 2006»
15 years 3 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...