Artificial Neural Networks and Machine Learning - ICANN 2014  24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings /  [electronic resource] : 
edited by Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa. 
 - Cham :  Springer International Publishing,  2014. 
 - 1 online resource (XXV, 852 p. 338 ill.) 
 - Lecture Notes in Computer Science,  8681  0302-9743 ; .
<br/><br/>Recurrent Networks -- Sequence Learning -- Echo State Networks -- Recurrent Network Theory -- Competitive Learning and Self-Organisation.- Clustering and Classification -- Trees and Graphs -- Human-Machine Interaction -- Deep Networks.- Theory -- Optimization -- Layered Networks -- Reinforcement Learning and Action -- Vision -- Detection and Recognition -- Invariances and Shape Recovery -- Attention and Pose Estimation -- Supervised Learning -- Ensembles -- Regression -- Classification -- Dynamical Models and Time Series -- Neuroscience -- Cortical Models -- Line Attractors and Neural Fields -- Spiking and Single Cell Models -- Applications -- Users and Social Technologies -- Demonstrations. 
<br/><br/><label>ISBN: </label>9783319111797 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Computers.<br/>Algorithms.<br/>Artificial intelligence.<br/>Image processing.<br/>Pattern recognition.