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检索条件"任意字段=3rd IAPR Workshop on Artificial Neural Networks in Pattern Recognition"
274 条 记 录,以下是191-200 订阅
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An improved architecture for cooperative and comparative neurons (CCNs) in neural network
An improved architecture for cooperative and comparative neu...
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3rd International workshop on artificial neural networks and Intelligent Information Processing - ANNIIP 2007;In Conjunction with ICINCO 2007
作者: Islam, Md. Kamrul School of Computing Queen's University Kingston K7L 3N6 ON Canada
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one in which the input pattern leads to the... 详细信息
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Unsupervised spatial pattern classification of electrical-wafer-sorting maps in semiconductor manufacturing
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pattern recognition LETTERS 2005年 第12期26卷 1857-1865页
作者: Di Palma, F De Nicolao, G Miraglia, G Pasquinetti, E Piccinini, F Univ Pavia Dipartimento Informat & Sistemist I-27100 Pavia Italy STMicroelect I-20041 Agrate Brianza Italy
in semiconductor manufacturing, the spatial pattern of failed devices in a wafer can give precious hints on which step of the process is responsible for the failures. In the literature, Kohonen's Self Organizing F... 详细信息
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3rd International workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, 7th International workshop on Computational Forensics, IWCF 2018, and International workshop on Multimedia Information Processing for Personality and Social networks Analysis, MIPPSNA 2018 held at 24th International Conference on pattern recognition, ICPR 2018
3rd International Workshop on Computer Vision for Analysis o...
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3rd International workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, 7th International workshop on Computational Forensics, IWCF 2018, and International workshop on Multimedia Information Processing for Personality and Social networks Analysis, MIPPSNA 2018 held at 24th International Conference on pattern recognition, ICPR 2018
The proceedings contain 16 papers. The special focus in this conference is on Computer Vision for Analysis of Underwater Imagery. The topics include: Categorization of Document Image Tampering Techniques and How to Id...
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Abstract echo state networks  9th
Abstract echo state networks
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9th iapr TC3 International workshop on artificial neural networks in pattern recognition, ANNPR 2020
作者: Senn, Christoph Walter Kumazawa, Itsuo Department of Information and Communications Engineering School of Engineering Tokyo Institute of Technology Tokyo Japan
Noisy or adverse input is a threat to the safe deployment of neural networks in production. To ensure the safe operations of such networks they need to be hardened to work under such conditions. Abstract interpretatio... 详细信息
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Content-Based Retrieval and Classification of Ultrasound Medical Images of Ovarian Cysts
Content-Based Retrieval and Classification of Ultrasound Med...
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4th workshop on artificial neural networks in pattern recognition
作者: Sohail, Abu Sayeed Md Bhattacharya, Prabir Mudur, Sudhir P. Krishnamurthy, Srinivasan Gilbert, Lucy Concordia Univ Dept Comp Sci & Software Engn Montreal PQ Canada Univ Cincinnati Dept Comp Sci Cincinnati OH 45221 USA Royal Victoria Hosp Dept Obstet & Gynaecol Montreal PQ H3A 1A1 Canada
This paper presents a combined method of content-based retrieval and classification of ultrasound medical images representing three types of ovarian cysts: Simple Cyst, Endometrioma, and Teratoma. Combination of histo... 详细信息
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innvestigate-gui - explaining neural networks through an interactive visualization tool  9th
innvestigate-gui - explaining neural networks through an int...
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9th iapr TC3 International workshop on artificial neural networks in pattern recognition, ANNPR 2020
作者: Garcea, Fabio Famouri, Sina Valentino, Davide Morra, Lia Lamberti, Fabrizio Dipartimento di Automatica e Informatica Politecnico di Torino Turin Italy
In recent years, deep neural networks have reached state of the art performance across many different domains. Computer vision in particular has benefited immensely from deep learning. Despite their high performance, ... 详细信息
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Unsupervised Hierarchical Disentanglement for Video Prediction  26
Unsupervised Hierarchical Disentanglement for Video Predicti...
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26th International Conference on pattern recognition / 8th International workshop on Image Mining - Theory and Applications (IMTA)
作者: Motallebi, Mohammad Reza Westfechtel, Thomas Li, Yang Harada, Tatsuya Univ Tokyo Tokyo Japan RIKEN Tokyo Japan
Video prediction is a complicated task as countless possible future frames exist that are equally plausible. While recent work have made progress in the prediction and generation of future video frames, these work hav... 详细信息
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4th iapr TC 9 workshop on Multimodal pattern recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016
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4th iapr TC 9 workshop on Multimodal pattern recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016
The proceedings contain 13 papers. The special focus in this conference is on Multimodal pattern recognition of Social Signals in Human-Computer-Interaction. The topics include: Bimodal recognition of Cognitive Load B...
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Character recognition with neural assemblies  3rd
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3rd International workshop on artificial neural networks, IWANN 1995
作者: Vico, Francisco J. Ortega, F. Almaraz, J. Sandoval, F. E.T.S.I. de Telecomunicaciòn Dpto. Tecnologfa Electrìnica Dpto. Psicobiologfa Universidad de Màlaga Plaza E1 Ejido s/n Màlaga29013 Spain
In living beings, any pattern recognition task involves complex processes of concepts formation. We propose a model based on the principle of neural assemblies to develop internal representations of characters. neural... 详细信息
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Bio-inspired optic flow from event-based neuromorphic sensor input  6
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6th iapr TC3 International workshop on artificial neural networks for pattern recognition, ANNPR 2014
作者: Tschechne, Stephan Sailer, Roman Neumann, Heiko Inst. for Neural Information Processing Ulm University Albert-Einstein-Allee 1 Ulm89069 Germany
Computational models of visual processing often use framebased image acquisition techniques to process a temporally changing stimulus. This approach is unlike biological mechanisms that are spikebased and independent ... 详细信息
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