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Titlebook: Artificial Neural Networks in Pattern Recognition; 4th IAPR TC3 Worksho Friedhelm Schwenker,Neamat Gayar Conference proceedings 2010 Spring

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發(fā)表于 2025-3-21 19:47:21 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Neural Networks in Pattern Recognition
期刊簡稱4th IAPR TC3 Worksho
影響因子2023Friedhelm Schwenker,Neamat Gayar
視頻videohttp://file.papertrans.cn/163/162683/162683.mp4
發(fā)行地址Fast track conference proceeding.Unique visibility.State of the art research
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Neural Networks in Pattern Recognition; 4th IAPR TC3 Worksho Friedhelm Schwenker,Neamat Gayar Conference proceedings 2010 Spring
Pindex Conference proceedings 2010
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沙發(fā)
發(fā)表于 2025-3-21 21:43:49 | 只看該作者
https://doi.org/10.1007/978-3-663-04838-1 were used to evaluate hidden Markov models. The best single model with features of principal component analysis in the region face achieved a detection rate of 76.4?%. To improve these results further, two different fusion approaches were evaluated. Thus, the best fusion detection rate in this study was 86.1?%.
板凳
發(fā)表于 2025-3-22 01:31:53 | 只看該作者
A New Monte Carlo-Based Error Rate Estimatoring process that generates the data and exploits these models in a Monte Carlo style to provide two biased estimators whose best combination is determined by an iterative solution. We test our estimator against state of the art estimators and show that it provides a reliable estimate in terms of mean-square-error.
地板
發(fā)表于 2025-3-22 05:53:16 | 只看該作者
5#
發(fā)表于 2025-3-22 10:47:38 | 只看該作者
Sur le théorème de préparation de Weierstra?nto the online-learning rules. We provide the mathematical foundation of the respective framework. This framework includes usual gradient descent learning of prototypes as well as parameter optimization and relevance learning for improvement of the performance.
6#
發(fā)表于 2025-3-22 13:06:20 | 只看該作者
https://doi.org/10.1007/978-3-663-04838-1detection of three areas in the image corresponding roughly to left and right eyes and mouths. Then, three local networks localize, in these areas, 9 key points per eye and 10 key points on the mouth. Thorough experiments on 3500 images from standard databases (Feret, BioID) show the detector accuracy, its generalization ability and speed.
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發(fā)表于 2025-3-22 17:03:31 | 只看該作者
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發(fā)表于 2025-3-23 00:24:36 | 只看該作者
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發(fā)表于 2025-3-23 03:18:05 | 只看該作者
Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiersm can eliminate more redundant and irrelevant features, provides slightly better accuracy and less complexity than causal feature selection. Ensemble using Bagging algorithm can improve accuracy in both correlation-based and causal feature selection.
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發(fā)表于 2025-3-23 08:05:12 | 只看該作者
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