Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319461816, 9783319461823

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On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_14 ◽

2016 ◽

pp. 163-174 ◽

Cited By ~ 2

Author(s):

Baptiste Wicht ◽

Andreas Fischer ◽

Jean Hennebert

Keyword(s):

Performance Optimization ◽

Restricted Boltzmann Machine ◽

Boltzmann Machine

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Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_23 ◽

2016 ◽

pp. 269-284 ◽

Cited By ~ 7

Author(s):

Mohammadreza Amirian ◽

Markus Kächele ◽

Friedhelm Schwenker

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Physiological Signals ◽

Radial Basis

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Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_4 ◽

2016 ◽

pp. 42-54 ◽

Cited By ~ 1

Author(s):

Frank-M. Schleif ◽

Ata Kaban ◽

Peter Tino

Keyword(s):

Kernel Approximation ◽

Invariant Kernel ◽

Random Fourier Features

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Background Categorization for Automatic Animal Detection in Aerial Videos Using Neural Networks

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_19 ◽

2016 ◽

pp. 220-232

Author(s):

Yunfei Fang ◽

Shengzhi Du ◽

Rishaad Abdoola ◽

Karim Djouani

Keyword(s):

Neural Networks ◽

Animal Detection

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On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_10 ◽

2016 ◽

pp. 117-125

Author(s):

Ricardo Lopes ◽

Kelton Costa ◽

João Papa

Keyword(s):

Forest Classification ◽

Optimum Path

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Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_6 ◽

2016 ◽

pp. 68-79 ◽

Cited By ~ 2

Author(s):

Edmondo Trentin

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Density Estimation ◽

Nonparametric Density Estimation ◽

Artificial Neural

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A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_22 ◽

2016 ◽

pp. 257-268 ◽

Cited By ~ 1

Author(s):

Marco Bongini ◽

Vincenzo Laveglia ◽

Edmondo Trentin

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Primary Structure ◽

Graphical Model ◽

Network Dynamic ◽

Probabilistic Graphical Model ◽

Disulfide Bonding ◽

Neural Network Dynamic ◽

Structure Of Proteins ◽

Model Predictor

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Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_27 ◽

2016 ◽

pp. 324-334 ◽

Cited By ~ 2

Author(s):

Viktor Kessler ◽

Markus Kächele ◽

Sascha Meudt ◽

Friedhelm Schwenker ◽

Günther Palm

Keyword(s):

Machine Learning ◽

Heart Rate ◽

Time Domain

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Incremental Construction of Low-Dimensional Data Representations

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_5 ◽

2016 ◽

pp. 55-67 ◽

Cited By ~ 6

Author(s):

Alexander Kuleshov ◽

Alexander Bernstein

Keyword(s):

Data Representations ◽

Low Dimensional ◽

Incremental Construction

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Time Series Classification in Reservoir- and Model-Space: A Comparison

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46182-3_17 ◽

2016 ◽

pp. 197-208 ◽

Cited By ~ 5

Author(s):

Witali Aswolinskiy ◽

René Felix Reinhart ◽

Jochen Steil

Keyword(s):

Time Series ◽

Model Space ◽

Time Series Classification

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Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM

Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals

Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation

Background Categorization for Automatic Animal Detection in Aerial Videos Using Neural Networks

On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification

Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks

A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins

Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain

Incremental Construction of Low-Dimensional Data Representations

Time Series Classification in Reservoir- and Model-Space: A Comparison

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science
Latest Publications