Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science
Latest Publications

TOTAL DOCUMENTS

104

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer Berlin Heidelberg

9783642042737, 9783642042744

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_69 ◽

2009 ◽

pp. 668-677 ◽

Cited By ~ 2

Author(s):

Amit Bhaya ◽

Fernando A. Pazos ◽

Eugenius Kaszkurewicz

Keyword(s):

Comparative Study ◽

Global Minimization ◽

Nonconvex Functions

Download Full-text

A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_41 ◽

2009 ◽

pp. 391-400

Author(s):

Norihiro Takahashi ◽

Tadashi Shibata

Keyword(s):

Cmos Image Sensor ◽

Image Sensor

Download Full-text

Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_27 ◽

2009 ◽

pp. 259-266

Author(s):

Rodolfo V. García ◽

Fernando Rojas ◽

Jesús González ◽

Belén San Román ◽

Olga Valenzuela ◽

...

Keyword(s):

Independent Component Analysis ◽

Cerebellar Ataxia ◽

Component Analysis ◽

Independent Component ◽

Aided Diagnosis

Download Full-text

Minimising Contrastive Divergence with Dynamic Current Mirrors

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_43 ◽

2009 ◽

pp. 410-420 ◽

Cited By ~ 1

Author(s):

Chih-Cheng Lu ◽

H. Chen

Keyword(s):

Current Mirrors ◽

Contrastive Divergence

Download Full-text

Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_8 ◽

2009 ◽

pp. 70-79 ◽

Cited By ~ 3

Author(s):

Alexander Hans ◽

Steffen Udluft

Keyword(s):

Reinforcement Learning ◽

Uncertainty Propagation ◽

Limited Data

Download Full-text

Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_83 ◽

2009 ◽

pp. 807-816 ◽

Cited By ~ 1

Author(s):

Ivan da Silva ◽

Rogerio Flauzino

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Backpropagation Method ◽

Parametric Adjustment

Download Full-text

Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_53 ◽

2009 ◽

pp. 505-514 ◽

Cited By ~ 2

Author(s):

Tomonori Shirotori ◽

Yuko Osana

Keyword(s):

Associative Memory ◽

Feature Map ◽

Kohonen Feature Map

Download Full-text

Function Decomposition Network

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_74 ◽

2009 ◽

pp. 718-727

Author(s):

Yevgeniy Bodyanskiy ◽

Sergiy Popov ◽

Mykola Titov

Keyword(s):

Function Decomposition

Download Full-text

Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_59 ◽

2009 ◽

pp. 567-576 ◽

Cited By ~ 4

Author(s):

Nikolaos Gianniotis ◽

Peter Tiňo ◽

Steve Spreckley ◽

Somak Raychaudhury

Keyword(s):

Probabilistic Model ◽

Light Curves ◽

Topographic Mapping

Download Full-text

A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04274-4_5 ◽

2009 ◽

pp. 40-49 ◽

Cited By ~ 1

Author(s):

Edmondo Trentin ◽

Leonardo Rigutini

Keyword(s):

Maximum Likelihood ◽

Unsupervised Learning ◽

Connectionist Model

Download Full-text

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions

A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor

Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

Minimising Contrastive Divergence with Dynamic Current Mirrors

Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data

Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method

Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns

Function Decomposition Network

Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model

A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains

Artificial Neural Networks – ICANN 2009 - Lecture Notes in Computer Science
Latest Publications