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检索条件"任意字段=2nd IAPR Workshop on Artificial Neural Networks in Pattern Recognition"
135 条 记 录,以下是1-10 订阅
排序:
An eye detection system based on neural autoassociators
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Bianchini, Monica Sarti, Lorenzo Univ Siena Dipartimento Ingn Informaz I-53100 Siena Italy
Automatic eye tracking is a challenging task, with numerous applications in biometrics, security, intelligent human-computer interfaces;and driver's sleepiness detection systems. Eye localization and extraction is... 详细信息
来源: 评论
Multiple neural networks for facial feature localization in orientation-free face images
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Prevost, Lionel Belaroussi, Rachid Milgram, Maurice Univ Paris 06 PRC F-75005 Paris France
We present in this paper a new facial feature localizer. It uses a kind of auto-associative neural network trained to localize specific facial features (like eyes and mouth corners) in orientation-free faces. One poss... 详细信息
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Adaptive feedback inhibition improves pattern discrimination learning
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Michler, Frank Wachtler, Thomas Eckhorn, Reinhard Univ Marburg Dept Phys Appl Phys NeuroPhys Grp D-35032 Marburg Germany
neural network models for unsupervised pattern recognition learning are challenged when the difference between the patterns of the training set is small. The standard neural network architecture for pattern recognitio... 详细信息
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An experimental study on training radial basis functions by gradient descent
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Torres-Sospedra, Joaquin Hernandez-Espinosa, Carlos Fernandez-Redondo, Mercedes Univ Jaume 1 Dept Ingn & Ciencia Comp Castellon de La Plana 12071 Spain
In this paper, we present experiments comparing different training algorithms for Radial Basis Functions (RBF) neural networks. In particular we compare the classical training which consist of an unsupervised training... 详细信息
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Ammonium estimation in a biological wastewater plant using feedforward neural networks
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Garcia, Hilario Lopez Gonzalez, Ivan Machon Univ Oviedo Escuela Politecn Super Ingn Dept Ingn Elect Elect Computadores & Sistemas Edif Dept Zona Oeste 2 Asturias 33204 Spain
Mathematical models are normally used to calculate the component concentrations in biological wastewater treatment. However, this work deals with the wastewater from a coke plant and it implies inhibition effects betw... 详细信息
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Orientation histograms for face recognition
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Schwenker, Friedhelm Sachs, Andreas Palm, Guenther Kestler, Hans A. Univ Ulm Dept Neural Informat Proc D-89069 Ulm Germany
In this paper we present a method to recognize human faces based on histograms of local orientation. Orientation histograms were used as input feature vectors for a k-nearest neigbour classifier. We present a method t... 详细信息
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Hierarchical neural networks utilising Dempster-Shafer evidence theory
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Fay, Rebecca Schwenker, Friedhelm Thiel, Christian Palm, Guenther Univ Ulm Dept Neural Informat Proc D-89069 Ulm Germany
Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous,to decision trees are used to retrieve the classification result. More complex ways of ... 详细信息
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Combining MF networks:: A comparison among statistical methods and Stacked Generalization
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Torres-Sospedra, Joaquin Hernandez-Espinosa, Carlos Fernandez-Redondo, Mercedes Univ Jaume 1 Dept Ingn & Ciencia Computadores Castellon de La Plana 12071 Spain
The two key factors to design an ensemble of neural networks are how to train the individual networks and how to combine the different outputs to get a single output. In this paper we focus on the combination module. ... 详细信息
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Simple and effective connectionist nonparametric estimation of probability density functions
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Trentin, Edmondo Univ Siena Dipartimento Ingn Informaz Siena Italy
Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the underlying, unknown distribution. Nonparametric tec... 详细信息
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On the effects of constraints in semi-supervised hierarchical clustering
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2nd iapr workshop on artificial neural networks in pattern recognition
作者: Kestler, Hans A. Kraus, Johann M. Palm, Guenther Schwenker, Friedhelm Univ Ulm Dept Neural Informat Proc D-89069 Ulm Germany Univ Hosp Ulm Dept Internal Med 1 D-89081 Ulm Germany
We explore the use of constraints with divisive hierarchical clustering. We mention some considerations on the effects of the inclusion of constraints into the hierarchical clustering process. Furthermore, we introduc... 详细信息
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