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» The Inefficiency of Batch Training for Large Training Sets
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EUROPAR
2005
Springer
14 years 2 months ago
An Approach to Performance Prediction for Parallel Applications
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...
SOFTCO
2004
Springer
14 years 2 months ago
MultiNNProm: A Multi-Classifier System for Finding Genes
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
Romesh Ranawana, Vasile Palade
AVBPA
2001
Springer
145views Biometrics» more  AVBPA 2001»
14 years 1 months ago
Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
In several pattern recognition problems, particularly in image recognition ones, there are often a large number of features available, but the number of training samples for each p...
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiro...
CICLING
2001
Springer
14 years 1 months ago
Lexical-Semantic Tagging of an Italian Corpus
The availability of semantically tagged corpora is becoming a very important and urgent need for training and evaluation within a large number of applications but also they are th...
Nicoletta Calzolari, Ornella Corazzari, Antonio Za...
MICCAI
1998
Springer
14 years 1 months ago
Multi-modal Volume Registration Using Joint Intensity Distributions
Abstract. The registration of multimodal medical images is an important tool in surgical applications, since different scan modalities highlight complementary anatomical structures...
Michael E. Leventon, W. Eric L. Grimson