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ECCV
1992
Springer
15 years 7 months ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood
ICAART
2010
INSTICC
16 years 24 days ago
A Pattern Approach to Modeling the Provider Selection Problem
This article introduces the notion of agreement patterns, which provide a framework for modelling reusable problem solution descriptions for agreement fulfilment. In particular, t...
José Javier Durán, Carlos Angel Igle...
ESANN
2006
15 years 5 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
CSDA
2006
102views more  CSDA 2006»
15 years 3 months ago
An improved Akaike information criterion for state-space model selection
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
Thomas Bengtsson, Joseph E. Cavanaugh
IJCNN
2006
IEEE
15 years 9 months ago
Automated Model Selection (AMS) on Finite Mixtures: A Theoretical Analysis
— From the Bayesian Ying-Yang (BYY) harmony learning theory, a harmony function has been developed for finite mixtures with a novel property that its maximization can make model...
Jinwen Ma