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標題: Titlebook: Evolutionary Image Analysis and Signal Processing; Stefano Cagnoni Book 2009 Springer-Verlag Berlin Heidelberg 2009 Signal.calculus.cognit [打印本頁]

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書目名稱Evolutionary Image Analysis and Signal Processing影響因子(影響力)




書目名稱Evolutionary Image Analysis and Signal Processing影響因子(影響力)學科排名




書目名稱Evolutionary Image Analysis and Signal Processing網(wǎng)絡公開度




書目名稱Evolutionary Image Analysis and Signal Processing網(wǎng)絡公開度學科排名




書目名稱Evolutionary Image Analysis and Signal Processing被引頻次




書目名稱Evolutionary Image Analysis and Signal Processing被引頻次學科排名




書目名稱Evolutionary Image Analysis and Signal Processing年度引用




書目名稱Evolutionary Image Analysis and Signal Processing年度引用學科排名




書目名稱Evolutionary Image Analysis and Signal Processing讀者反饋




書目名稱Evolutionary Image Analysis and Signal Processing讀者反饋學科排名





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Harmonic Analysis of Databases and Matricesntal results related to the convergence, accuracy and speed of the proposed algorithm with different coding approaches are reported. We compare our approach with other scan matching algorithms proposed in the literature, and we show that our approach is faster and more accurate than the others.
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Jason Bello?,Yiran Li,Robert S. Strichartz? solved using a cubic equation.We also show how to combine DE with a conventional deterministic algorithm to initialize it. We present experiments that show better results than those previously reported. In addition, our solutions have a very low variance, which indicates the robustness of the approach.
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Optimizing a Medical Image Analysis System Using Mixed-Integer Evolution Strategiesan deal with nonlinear functions and different types of parameters, including integer, nominal discrete and continuous variables. MIES turns out to be well suited for this task. The results presented in this contribution will summarize and extend recent studies on benchmark functions and the IVUS image analysis optimization problem.
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Book 2009he 10th edition of EvoIASP, the workshop which has been the only event speci?cally dedicated to this topic since 1999. The second, more important one is to give an overview of the opportunities o?ered by Evolutionary C- putation (EC) techniques to computer vision,pattern recognition,and image and si
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Studies in Computational Intelligencehttp://image.papertrans.cn/e/image/317964.jpg
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978-3-642-10185-4Springer-Verlag Berlin Heidelberg 2009
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Evolutionary Image Analysis and Signal Processing978-3-642-01636-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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https://doi.org/10.1007/978-94-007-5348-8osed architecture is advantageous in its suitability for online adaptation while maintaining a very high recognition speed. With its support for virtual run-time reconfiguration, the architecture is suitable for implementation in an on-chip evolution system. Function level modules and data buses are
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https://doi.org/10.1007/BFb0109335netic programming approach, where each genetic program returns just one floating point number that is then translated into different class labels, this approach invents a new program structure with multiple outputs, each for a particular class. A voting scheme is then applied to these output values
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Chaucerian Fecology and Wasteways: ,alysis system for Intravascular Ultrasound (IVUS) images. IVUS is a technique used to obtain real-time high-resolution tomographic images from the inside of coronary vessels and other arteries. The IVUS image feature detectors used in the analysis system are expert-designed and the default parameter
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Excursions in Astronomical Opticsproduced during an industrial process. MDE Frameworks employ the Differential Evolution (DE) as an evolutionary framework and a list of local searchers adaptively coordinated by a control scheme. Here, three different variants of MDE are taken into account and their features and performance are comp
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Harmonic Analysis of Databases and Matricesrs. The measured data may be incomplete and noisy. To solve this problem, we used a genetic algorithm for minimizing an alignment error. A lookup-based fitness function was devised. The considered range devices are laser and focalized ultrasonic scanners. Scan matching is often considered for mobile
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Exclusion from and Within Schoold within a linear scale space, thereby making scale-invariant feature detection a straightforward task. The proposed scale-invariant detectors exhibit a high performance on standard tests when compared with state-of-the-art techniques. The experimental results exhibit the ability of GP to construct
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Excursions in Harmonic Analysis, Volume 4s a matter of fact, medical applications require high linearity in the filter phase function to prevent undesired distortions in the detected signals. The proposed technique is based on minimizing a cost function that uses the weighted squared difference between the optimum filter specifications and
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Online Evolvable Pattern Recognition Hardware of longer evolution time or lower recognition accuracy. The architecture is applied to a face image recognition task, for which a recognition accuracy of 96.25% is demonstrated. This result is better than the previously proposed offline EHW architectures.
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A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classificationkeeping the advantages of the standard genetic programming approach for easy crossover and mutation. This approach can solve a multiclass object recognition problem using a single evolved program in a single run.
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Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapesss recognition system. We compare such recognition systems to reference methods, showing that our generative learning approach provides similar results. This chapter also contains detailed analysis of processing carried out by an exemplary individual.
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An Evolutionary FIR Filter Design Methods a matter of fact, medical applications require high linearity in the filter phase function to prevent undesired distortions in the detected signals. The proposed technique is based on minimizing a cost function that uses the weighted squared difference between the optimum filter specifications and
作者: 細絲    時間: 2025-3-28 14:41
1860-949X to applications of EC, was born. Amongst the possible application ?elds for EC, IASP was selected almost accidentally, due to the occasional 978-3-642-10185-4978-3-642-01636-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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Book 2009elds to which EC techniques could o?er a valuable contribution. That was how the ideaofcreatingasingleevent,EvoWorkshops,outofacollectionofworkshops dedicated to applications of EC, was born. Amongst the possible application ?elds for EC, IASP was selected almost accidentally, due to the occasional
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Online Evolvable Pattern Recognition Hardwareosed architecture is advantageous in its suitability for online adaptation while maintaining a very high recognition speed. With its support for virtual run-time reconfiguration, the architecture is suitable for implementation in an on-chip evolution system. Function level modules and data buses are




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