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Home > Artificial Neural Networks and Machine Learning - ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II > A Perceptual Memory System for Affordance Learning in Humanoid Robots
Artificial Neural Networks and Machine Learning - ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II |
Timo Honkela; Włodzisław Duch; Mark Girolami; Samuel Kaski
Springer Berlin Heidelberg
Artificial Neural Networks and Machine Learning - ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II
A Perceptual Memory System for Affordance Learning in Humanoid Robots
Authors

Marc Kammer; Marko Tscherepanow; Thomas Schack; Yukie Nagai

ARI Id

1664720516840_2915181

Access

Not Available Free

Pages

349-356

DOI

10.1007/978-3-642-21738-8_45

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-21738-8_45

Table of Contents of Book
Showing 1 to 20 of 61 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
A Markov Random Field Approach to Neural Encoding and Decoding
Marcel A. J. van Gerven; Eric Maris; Tom Heskes
1-8
Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs
Nicolas Heess; Nicolas Le Roux; John Winn
9-16
Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System
Andrey Eliseyev; Alim-Louis Benabid; Tatiana Aksenova
17-24
Transformation of Edge Weights in a Graph Bipartitioning Problem
I. M. Karandashev; B. V. Kryzhanovsky
25-31
A Distributed Behavioral Model Using Neural Fields
Mohamed Oubbati; Josef Frick; Günther Palm
32-39
A Hypothetical Free Synaptic Energy Function and Related States of Synchrony
Karim El-Laithy; Martin Bogdan
40-47
Observational Learning Based on Models of Overlapping Pathways
Emmanouil Hourdakis; Panos Trahanias
48-55
On the Capacity of Transient Internal States in Liquid-State Machines
Karim El-Laithy; Martin Bogdan
56-63
Hybrid Parallel Classifiers for Semantic Subspace Learning
Nandita Tripathi; Michael Oakes; Stefan Wermter
64-70
Temperature Prediction in Electric Arc Furnace with Neural Network Tree
Mirosław Kordos; Marcin Blachnik; Tadeusz Wieczorek
71-78
Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization
Dimitrios Bouzas; Nikolaos Arvanitopoulos; Anastasios Tefas
79-86
SOS-HMM: Self-Organizing Structure of Hidden Markov Model
Rakia Jaziri; Mustapha Lebbah; Younès Bennani; Jean-Hugues Chenot
87-94
Image Receptive Fields Neural Networks for Object Recognition
Paméla Daum; Jean-Luc Buessler; Jean-Philippe Urban
95-102
A Comparison of the Electric Potential through the Membranes of Ganglion Neurons and Neuroblastoma Cells
Thiago M. Pinto; Roseli S. Wedemann; Célia Cortez
103-110
SNPboost: Interaction Analysis and Risk Prediction on GWA Data
Ingrid Brænne; Jeanette Erdmann; Amir Madany Mamlouk
111-118
Binary Patterns Identification by Vector Neural Network with Measure of Proximity between Neuron States
Vladimir Kryzhanovskiy
119-126
Emerging Bayesian Priors in a Self-Organizing Recurrent Network
Andreea Lazar; Gordon Pipa; Jochen Triesch
127-134
Momentum Acceleration of Least–Squares Support Vector Machines
Jorge López; Álvaro Barbero; José R. Dorronsoro
135-142
Fast Support Vector Training by Newton’s Method
Shigeo Abe
143-150
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 61 entries
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