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Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2008; 9th International Co Colin Fyfe,Dongsup Kim,Hujun Yin Conference proceedi

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樓主: 威風
51#
發(fā)表于 2025-3-30 09:27:31 | 只看該作者
Evolutionary Optimization of Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applicationsed. The URFNN allows union operation of input fuzzy sets in the antecedents to cover bigger input domain compared with the complete structure rule which consists of AND combination of all input variables in its premise. To construct the URFNN, we consider the union-based logic processor (ULP) which
52#
發(fā)表于 2025-3-30 15:11:42 | 只看該作者
Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attentionh a biologically motivated face-color preferable selective attention. The biologically motivated face-color preferable selective attention model localizes face candidate regions in a natural scene, and then the Adaboost based face detection process only works for those localized face candidate areas
53#
發(fā)表于 2025-3-30 16:48:48 | 只看該作者
Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART-up attention and goal based top-down attention. The proposed model can guide attention to focus on a given target colored object over other objects or feature based salient areas by considering the object color biased attention mechanism. We proposed a growing fuzzy topology ART that plays importan
54#
發(fā)表于 2025-3-30 23:15:36 | 只看該作者
A Study on Human Gaze Estimation Using Screen Reflectionation of inaccurate gaze detection in ambient natural light and the number of IR illuminator and their particular location has also effect on gaze detection. In this paper, we present a eye gaze detection method based on computer screen illumination as light emitting source and choose high speed cam
55#
發(fā)表于 2025-3-31 03:17:35 | 只看該作者
56#
發(fā)表于 2025-3-31 07:20:39 | 只看該作者
57#
發(fā)表于 2025-3-31 10:46:13 | 只看該作者
58#
發(fā)表于 2025-3-31 15:08:44 | 只看該作者
59#
發(fā)表于 2025-3-31 18:58:51 | 只看該作者
Feature Discovery by Enhancement and Relaxation of Competitive Unitstion to realize competitive processes. Because mutual information is an average over all input patterns and competitive units, it cannot be used to detect detailed feature extraction. To examine in more detail how a network is organized, we introduce the enhancement and relaxation of competitive uni
60#
發(fā)表于 2025-4-1 01:01:40 | 只看該作者
haft und nicht den der Banken desselben Platzes untereinander betreffen, im Korrespondenzbureau konzentrieren. Das liegt daran, da? in einem ordnungsm??ig geleiteten kaufm?nnischen Institute über s?mtliche Gesch?ftsvorf?lle schriftliche Abmachungen erfolgen. Im Warengesch?ft ist es z. B. h?ufig übli
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