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检索条件"任意字段=3rd IAPR Workshop on Artificial Neural Networks in Pattern Recognition"
269 条 记 录,以下是131-140 订阅
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Automatic bridge crack detection - A texture analysis-based approach  6
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6th iapr TC3 International workshop on artificial neural networks for pattern recognition, ANNPR 2014
作者: Chanda, Sukalpa Bu, Guoping Guan, Hong Jo, Jun Pal, Umapada Loo, Yew-Chaye Blumenstein, Michael School of Information and Communication Technology Griffith University QLD4222 Australia School of Engineering Griffith University QLD4222 Australia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata700108 India
To date, identifying cracks in bridges and determining bridge conditions primarily involve manual labour. Bridge inspection by human experts has some drawbacks such as the inability to physically examine all parts of ... 详细信息
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Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams  6
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6th iapr TC3 International workshop on artificial neural networks for pattern recognition, ANNPR 2014
作者: Pagano, Christophe Granger, Eric Sabourin, Robert Marcialis, Gian Luca Roli, Fabio Laboratoire d’imagerie de vision et d’intelligence artificielle École de technologie supérieure Université du Québec Montreal Canada Pattern Recognition and Applications Group Dept. Of Electrical and Electronic Engineering University of Cagliari Cagliari Italy
Adapting classification systems according to new input data streams raises several challenges in changing environments. Although several adaptive ensemble-based strategies have been proposed to preserve previously-acq... 详细信息
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Computing upper and lower bounds of graph edit distance in cubic time  6
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6th iapr TC3 International workshop on artificial neural networks for pattern recognition, ANNPR 2014
作者: Riesen, Kaspar Fischer, Andreas Bunke, Horst Institute for Information Systems University of Applied Sciences and Arts Northwestern Switzerland Riggenbachstrasse 16 Olten4600 Switzerland Biomedical Science and Technologies Research Centre Polytechnique Montreal 2500 Chemin de Polytechnique MontrealH3T 1J4 Canada Institute of Computer Science and Applied Mathematics University of Bern Neubrückstrasse 10 Bern3012 Switzerland
Exact computation of graph edit distance (GED) can be solved in exponential time complexity only. A previously introduced approximation framework reduces the computation of GED to an instance of a linear sum assignmen... 详细信息
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Combining bipartite graph matching and beam search for graph edit distance approximation  6
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6th iapr TC3 International workshop on artificial neural networks for pattern recognition, ANNPR 2014
作者: Riesen, Kaspar Fischer, Andreas Bunke, Horst Institute for Information Systems University of Applied Sciences and Arts Northwestern Switzerland Riggenbachstrasse 16 Olten4600 Switzerland Biomedical Science and Technologies Research Centre Polytechnique Montreal 2500 Chemin de Polytechnique MontrealH3T 1J4 Canada Institute of Computer Science and Applied Mathematics University of Bern Neubrückstrasse 10 Bern3012 Switzerland
Graph edit distance (GED) is a powerful and flexible graph dissimilarity model. Yet, exact computation of GED is an instance of a quadratic assignment problem and can thus be solved in exponential time complexity only... 详细信息
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Detection of cognitive impairment in MS based on an EEG P300 paradigm
Detection of cognitive impairment in MS based on an EEG P300...
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3rd International workshop on pattern recognition in NeuroImaging (PRNI)
作者: Van Schependom, Jeroen D'hooge, Mieke Cleynhens, Krista D'hooghe, Marie B. De Keyser, Jacques Nagels, Guy Vrije Univ Brussel Ctr Neurosci Brussels Belgium
Cognitive impairment affects half of the multiple sclerosis (MS) patient population and is an important factor of quality of life. Cognitive impairment is, however, difficult to detect. Apart from the traditional feat... 详细信息
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artificial neural networks in pattern recognition - 5th INNS iapr TC 3 GIRPR workshop, ANNPR 2012, Proceedings
Artificial Neural Networks in Pattern Recognition - 5th INNS...
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5th INNS iapr TC 3 GIRPR workshop on artificial neural networks for pattern recognition, ANNPR 2012
The proceedings contain 21 papers. The topics discussed include: how to quantitatively compare data dissimilarities for unsupervised machine learning?;kernel robust soft learning vector quantization;incremental learni...
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Fusion of fragmentary classifier decisions for affective state recognition
Fusion of fragmentary classifier decisions for affective sta...
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1st iapr TC3 workshop on Multimodal pattern recognition of Social Signals in Human-Computer-Interaction, MPRSS 2012
作者: Krell, Gerald Glodek, Michael Panning, Axel Siegert, Ingo Michaelis, Bernd Wendemuth, Andreas Schwenker, Friedhelm Institute for Electronics Signal Processing and Communications Otto-von-Guericke University Magdeburg Germany Institute of Neural Information Processing Ulm University Germany
Real human-computer interaction systems based on different modalities face the problem that not all information channels are always available at regular time steps. Nevertheless an estimation of the current user state... 详细信息
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Multimodal pattern recognition of Social Signals in Human-Computer- Interaction - First iapr TC3 workshop, MPRSS 2012, Revised Selected Papers
Multimodal Pattern Recognition of Social Signals in Human-Co...
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1st iapr TC3 workshop on Multimodal pattern recognition of Social Signals in Human-Computer-Interaction, MPRSS 2012
The proceedings contain 13 papers. The topics discussed include: generative modeling of dyadic conversations: characterization of pragmatic skills during development age;social coordination assessment: distinguishing ...
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The effect of fuzzy training targets on voice quality classification
The effect of fuzzy training targets on voice quality classi...
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1st iapr TC3 workshop on Multimodal pattern recognition of Social Signals in Human-Computer-Interaction, MPRSS 2012
作者: Scherer, Stefan Kane, John Gobl, Christer Schwenker, Friedhelm Institute of Creative Technologies University of Southern California United States Phonetics and Speech Laboratory Trinity College Dublin Ireland Institute of Neural Information Processing Ulm University Germany
The dynamic use of voice qualities in spoken language can reveal useful information on a speaker's attitude, mood and affective states. This information may be desirable for a range of speech technology applicatio... 详细信息
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3D motion estimation of human body from video with dynamic camera work
3D motion estimation of human body from video with dynamic c...
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1st iapr TC3 workshop on Multimodal pattern recognition of Social Signals in Human-Computer-Interaction, MPRSS 2012
作者: Ayumi, Matsumoto Wu, Xiaojun Harumi, Kawamura Akira, Kojima Nippon Telegraph and Telephone Corporation Japan NTT Communications Corporation Japan
Occlusion or camera setting produces a high degree of ambiguity when estimating human body motion from monocular video sequences. Good human motion models are an important means of addressing this problem. In this wor... 详细信息
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