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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11-20 订阅
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Partial discriminative training of neural networks for classification of overlapping classes
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3rd iapr workshop on artificial neural networks in pattern recognition
作者: Liu, Cheng-Lin Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit NLPR Beijing 100190 Peoples R China
In applications such as character recognition, some classes are heavily overlapped but are not necessarily to be separated. For classification of such overlapping classes, either discriminating between them or merging... 详细信息
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Mining software aging patterns by artificial neural networks
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3rd iapr workshop on artificial neural networks in pattern recognition
作者: El-Shishiny, Hisham Deraz, Sally Bahy, Omar IBM Cairo Technol Dev Ctr Giza Egypt
This paper investigates the use of artificial neural networks (ANN) to mine and predict;patterns in software aging phenomenon. We analyze resource usage data collected on a typical long-running software system: a web ... 详细信息
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Similarity learning for graph-based image representations
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pattern recognition LETTERS 2003年 第8期24卷 1115-1122页
作者: de Mauro, C Diligenti, M Gori, M Maggini, M Univ Siena Dipartimento Ingn Informazione I-53100 Siena Italy
Visual database engines are usually based on predefined criteria for retrieving the images in response to a given query. In this paper, we propose a novel approach based on neural networks by which the retrieval crite... 详细信息
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A neural network approach to similarity learning
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3rd iapr workshop on artificial neural networks in pattern recognition
作者: Melacci, Stefano Sarti, Lorenzo Maggini, Marco Bianchini, Monica Univ Siena DII I-53100 Siena Italy
This paper presents a novel neural network model, called similarity neural network (SNN), designed to learn similarity measures for pairs of patterns. The model guarantees to compute a non negative and symmetric measu... 详细信息
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Using attributed plex grammars for the generation of image and graph databases
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pattern recognition LETTERS 2003年 第8期24卷 1081-1087页
作者: Hagenbuchner, M Gori, M Bunke, H Tsoi, AC Irniger, C Univ Wollongong Fac Informat Wollongong NSW 2500 Australia Univ Siena Dip Ingn Informazione I-53100 Siena Italy Univ Bern Inst Comp Sci & Math CH-3012 Bern Switzerland
In this paper, a methodology for the generation of benchmarks in pattern recognition is described. The patterns are represented by means of an attributed plex language, which are based on plex grammars augmented by at... 详细信息
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Sentence understanding and learning of new words with large-scale neural networks
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3rd iapr workshop on artificial neural networks in pattern recognition
作者: Markert, Heiner Kayikci, Zoehre Kara Palm, Guenther Univ Ulm Inst Neural Informat Proc D-89069 Ulm Germany
We have implemented a speech command system which can understand simple command sentences like "Bot lift ball" or "Bot go table" using hidden Markov models (HMMs) and associative memories with spar... 详细信息
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The mixture of neural networks as ensemble combiner
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3rd iapr workshop on artificial neural networks in pattern recognition
作者: Fernandez-Redondo, Mercedes Torres-Sospedra, Joaquin Hernandez-Espinosa, Carlos Univ Jaume 1 Dept Ingn & Ciencia Computadores Castellon de La Plana Spain
In this paper we propose two new ensemble combiners based on the Mixture of neural networks model. In our experiments, we have applied two different network architectures on the methods based on the Mixture of neural ... 详细信息
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neural approximation of Monte Carlo policy evaluation deployed in Connect Four
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3rd iapr workshop on artificial neural networks in pattern recognition
作者: Fausser, Stefan Schwenker, Friedhelm Univ Ulm Inst Neural Informat Proc D-89069 Ulm Germany
To win a board-game or more generally to gain something specific in a given Markov-environment, it is most important to have a policy in cboosing and taking actions that leads to one of several qualitative good states... 详细信息
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Experiments with supervised fuzzy LVQ
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3rd iapr workshop on artificial neural networks in pattern recognition
作者: Thiel, Christian Sonntag, Britta Schwenker, Friedhelm Univ Ulm Inst Neural Informat Proc D-89069 Ulm Germany
Prototype based classifiers so far can only work with hard labels on the training data. In order to allow for soft labels as input label and answer, we enhanced the original LVQ algorithm. The key idea is adapting the... 详细信息
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artificial neural networks in pattern recognition  2012
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丛书名: Lecture Notes in Computer Science
2012年
作者: Nadia Mana Friedhelm Schwenker Edmondo Trentin
This book constitutes the refereed proceedings of the 5th INNS iapr TC3 GIRPR International workshop on artificial neural networks in pattern recognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 r...
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