21. ICANN 2011:
Espoo,
Finland
Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski (Eds.):
Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I.
Lecture Notes in Computer Science 6791 Springer 2011, ISBN 978-3-642-21734-0 
- Jyri J. Kivinen, Christopher K. I. Williams:
Transformation Equivariant Boltzmann Machines.
1-9
- KyungHyun Cho, Alexander Ilin, Tapani Raiko:
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines.
10-17
- David P. Reichert, Peggy Seriès, Amos J. Storkey:
A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex.
18-25
- Siamac Fazli, Márton Danóczy, Jürg Schelldorfer, Klaus-Robert Müller:
ℓ1-Penalized Linear Mixed-Effects Models for BCI.
26-35
- Sven Dähne, Johannes Höhne, Martijn Schreuder, Michael Tangermann:
Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces.
36-43
- Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang:
Transforming Auto-Encoders.
44-51
- Jonathan Masci, Ueli Meier, Dan Ciresan, Jürgen Schmidhuber:
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction.
52-59
- Sander M. Bohte:
Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons.
60-68
- Petia D. Koprinkova-Hristova, Günther Palm:
ESN Intrinsic Plasticity versus Reservoir Stability.
69-76
- Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Seamus Cawley, Fearghal Morgan:
Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations.
77-84
- Jan Faigl, Libor Preucil:
Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals.
85-92
- Mathieu Lefort, Yann Boniface, Bernard Girau:
Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture.
93-100
- Matthew Cook, Florian Jug, Christoph Krautz:
Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism.
101-108
- Ryotaro Kamimura:
Explicit Class Structure by Weighted Cooperative Learning.
109-116
- Hernán Ahumada, Guillermo L. Grinblat, Pablo M. Granitto:
Unsupervized Data-Driven Partitioning of Multiclass Problems.
117-125
- Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks.
126-133
- Antti Airola, Tapio Pahikkala, Tapio Salakoski:
An Improved Training Algorithm for the Linear Ranking Support Vector Machine.
134-141
- Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
Extending Tree Kernels with Topological Information.
142-149
- Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer:
Accelerating Kernel Neural Gas.
150-158
- René Felix Reinhart, Jochen Jakob Steil:
State Prediction: A Constructive Method to Program Recurrent Neural Networks.
159-166
- Yang Zhang, Shun Nishide, Toru Takahashi, Hiroshi G. Okuno, Tetsuya Ogata:
Cluster Self-organization of Known and Unknown Environmental Sounds Using Recurrent Neural Network.
167-175
- Nikolay I. Nikolaev, Peter Tino, Evgueni N. Smirnov:
Time-Dependent Series Variance Estimation via Recurrent Neural Networks.
176-184
- Hans-Georg Zimmermann, Alexey Minin, Victoria Kusherbaeva:
Historical Consistent Complex Valued Recurrent Neural Network.
185-192
- Jouni Hartikainen, Jaakko Riihimäki, Simo Särkkä:
Sparse Spatio-temporal Gaussian Processes with General Likelihoods.
193-200
- Simo Särkkä:
Learning Curves for Gaussian Processes via Numerical Cubature Integration.
201-208
- Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, Samuel Kaski:
Cross-Species Translation of Multi-way Biomarkers.
209-216
- Masato Yonekawa, Hiroaki Kurokawa:
An Evaluation of the Image Recognition Method Using Pulse Coupled Neural Network.
217-224
- Enrique Romero:
Using the Leader Algorithm with Support Vector Machines for Large Data Sets.
225-232
- Borbala Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel:
Automatic Seizure Detection Incorporating Structural Information.
233-240
- Andrew M. Dai, Amos J. Storkey:
The Grouped Author-Topic Model for Unsupervised Entity Resolution.
241-249
- Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja:
Kullback-Leibler Divergence for Nonnegative Matrix Factorization.
250-257
- Yoshiyuki Asai, Alessandro E. P. Villa:
Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks.
258-265
- Akio Yoshida, Yuko Osana:
Chaotic Complex-Valued Multidirectional Associative Memory with Variable Scaling Factor.
266-274
- Sami Virpioja, Minna Lehtonen, Annika Hultén, Riitta Salmelin, Krista Lagus:
Predicting Reaction Times in Word Recognition by Unsupervised Learning of Morphology.
275-282
- Asuka Terai, Saori Hirose, Naoko Kuriyama, Masanori Nakagawa:
An Examination of the Dynamic Interaction within Metaphor Understanding Using a Model Simulation.
283-290
- Konstantinos Raftopoulos, Stefanos D. Kollias:
Visual Pathways for Shape Abstraction.
291-298
- Ramya Rasipuram, Mathew Magimai-Doss:
Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning.
299-306
- George Kachergis, Gregory E. Cox, Michael N. Jones:
OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon.
307-314
- Sascha Klement, Thomas Martinetz:
On the Problem of Finding the Least Number of Features by L1-Norm Minimisation.
315-322
- Michael Gutmann, Aapo Hyvärinen:
Extracting Coactivated Features from Multiple Data Sets.
323-330
- Luís A. Alexandre:
Single Layer Complex Valued Neural Network with Entropic Cost Function.
331-338
- Klaus Neumann, Jochen J. Steil:
Batch Intrinsic Plasticity for Extreme Learning Machines.
339-346
- Peter Mysling, Søren Hauberg, Kim Steenstrup Pedersen:
An Empirical Study on the Performance of Spectral Manifold Learning Techniques.
347-354
- Teemu Pulkkinen, Teemu Roos, Petri Myllymäki:
Semi-supervised Learning for WLAN Positioning.
355-362
- Kazuyuki Hara, Seiji Miyoshi:
Ensemble-Teacher Learning through a Perceptron Rule with a Margin.
363-370
- Hiroshi Okamoto:
Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain.
371-378
- Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa:
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning.
379-386
Last update Fri May 25 08:16:38 2012
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
