Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID24. ICANN 2014: Hamburg, Germany
- Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia D. Koprinkova-Hristova
, Sven Magg, Günther Palm, Alessandro E. P. Villa:
Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Lecture Notes in Computer Science 8681, Springer 2014, ISBN 978-3-319-11178-0
Recurrent Networks
- Sebastian Otte, Marcus Liwicki, Andreas Zell:
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning. 1-8 - Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN. 9-16 - Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Thomas A. Runkler:
Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning. 17-24 - Petia D. Koprinkova-Hristova:
On-line Training of ESN and IP Tuning Effect. 25-32 - Xavier Hinaut, Stefan Wermter:
An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks. 33-40 - Peter Barancok, Igor Farkas:
Memory Capacity of Input-Driven Echo State Networks at the Edge of Chaos. 41-48 - Norbert Michael Mayer:
Adaptive Critical Reservoirs with Power Law Forgetting of Unexpected Input Sequences. 49-56 - Jérémie Cabessa, Alessandro E. P. Villa:
Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal. 57-64 - Claudius Gros, Mathias Linkerhand, Valentin Walther:
Attractor Metadynamics in Adapting Neural Networks. 65-72 - Hiroki Yamaoka, Narutoshi Horimoto, Toshimichi Saito:
Basic Feature Quantities of Digital Spike Maps. 73-80
Competitive Learning and Self-Organisation
- Frank-Michael Schleif:
Discriminative Fast Soft Competitive Learning. 81-88 - German Ignacio Parisi, Cornelius Weber, Stefan Wermter:
Human Action Recognition with Hierarchical Growing Neural Gas Learning. 89-96 - Nicolai Waniek, Simon Bremer, Jörg Conradt:
Real-Time Anomaly Detection with a Growing Neural Gas. 97-104 - Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto:
Classification with Reject Option Using the Self-Organizing Map. 105-112
Clustering and Classification
- Hideitsu Hino, Noboru Murata:
A Non-parametric Maximum Entropy Clustering. 113-120 - Fadi Dornaika, Ihab Kamal Aldine:
Instance Selection Using Two Phase Collaborative Neighbor Representation. 121-128 - Jens Hocke, Thomas Martinetz:
Global Metric Learning by Gradient Descent. 129-135 - Daniel Lückehe, Oliver Kramer:
Leaving Local Optima in Unsupervised Kernel Regression. 137-144
Trees and Graphs
- Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
An Algorithm for Directed Graph Estimation. 145-152 - Torsten Fischer, Oliver Nelles:
Merging Strategy for Local Model Networks Based on the Lolimot Algorithm. 153-160 - Indar Sugiarto, Jörg Conradt:
Factor Graph Inference Engine on the SpiNNaker Neural Computing System. 161-168 - Vladimir Kryzhanovsky, Magomed Malsagov, Juan Antonio Clares Tomas, Irina Zhelavskaya:
High-Dimensional Binary Pattern Classification by Scalar Neural Network Tree. 169-176
Human-Machine Interaction
- Jorge Luis Reyes-Ortiz, Luca Oneto, Alessandro Ghio, Albert Samà, Davide Anguita, Xavier Parra:
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions. 177-184 - Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert:
sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition. 185-192 - Stefan Heinrich, Stefan Wermter:
Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks. 193-200 - Mathis Richter, Jonas Lins, Sebastian Schneegans, Gregor Schöner:
A Neural Dynamic Architecture Resolves Phrases about Spatial Relations in Visual Scenes. 201-208 - Jinfeng Bai, Zhineng Chen, Bailan Feng, Bo Xu:
Chinese Image Character Recognition Using DNN and Machine Simulated Training Samples. 209-216 - Kratarth Goel, Raunaq Vohra, Jajati Keshari Sahoo:
Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN. 217-224 - Abdulrahman Alalshekmubarak, Leslie S. Smith:
On Improving the Classification Capability of Reservoir Computing for Arabic Speech Recognition. 225-232 - Thomas Kopinski, Alexander Rainer Tassilo Gepperth, Stefan Geisler, Uwe Handmann:
Neural Network Based Data Fusion for Hand Pose Recognition with Multiple ToF Sensors. 233-240 - Issam H. Laradji, Lahouari Ghouti, Faisal Saleh, Musab A. AlTurki:
Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries. 241-248 - Redwan Abdo A. Mohammed, Lars Schwabe, Oliver G. Staadt:
Towards Context-Dependence Eye Movements Prediction in Smart Meeting Rooms. 249-256
Deep Networks
- Xing Zhang, Siwei Lyu:
Variational EM Learning of DSBNs with Conditional Deep Boltzmann Machines. 257-264 - Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos, Joaquim Marques de Sá:
Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. 265-272 - Qi Wang, Joseph F. JáJá:
From Maxout to Channel-Out: Encoding Information on Sparse Pathways. 273-280 - Jason Cong, Bingjun Xiao:
Minimizing Computation in Convolutional Neural Networks. 281-290 - Kunihiko Fukushima:
One-Shot Learning with Feedback for Multi-layered Convolutional Network. 291-298
Theory
- Rafal Zdunek:
Row-Action Projections for Nonnegative Matrix Factorization. 299-306 - Gang Yang, Xirong Li, Jieping Xu, Qin Jin:
Structure Perturbation Optimization for Hopfield-Type Neural Networks. 307-314 - Seiya Satoh, Ryohei Nakano:
Complex-Valued Multilayer Perceptron Search Utilizing Singular Regions of Complex-Valued Parameter Space. 315-322 - Iakov M. Karandashev, Boris Kryzhanovsky:
Mix-Matrix Transformation Method for Max-Сut Problem. 323-330 - Vera Kurková, Marcello Sanguineti:
Complexity of Shallow Networks Representing Functions with Large Variations. 331-338 - Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg:
Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. 339-346
Reinforcement Learning and Action
- Nathan Sprague:
Contingent Features for Reinforcement Learning. 347-354 - Sotirios P. Chatzis, Dimitrios I. Kosmopoulos:
A Non-stationary Infinite Partially-Observable Markov Decision Process. 355-362 - Kuniyuki Takahashi, Tetsuya Ogata, Hadi Tjandra, Shingo Murata, Hiroaki Arie, Shigeki Sugano:
Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation. 363-370 - Jonathan Strahl, Timo Honkela, Paul Wagner:
A Gaussian Process Reinforcement Learning Algorithm with Adaptability and Minimal Tuning Requirements. 371-378 - Mohsen Firouzi, Saeed Bagheri Shouraki, Jörg Conradt:
Sensorimotor Control Learning Using a New Adaptive Spiking Neuro-Fuzzy Machine, Spike-IDS and STDP. 379-386 - Felix Putze, Daniel V. Holt, Tanja Schultz, Joachim Funke:
Model-Based Identification of EEG Markers for Learning Opportunities in an Associative Learning Task with Delayed Feedback. 387-394
Vision
- Hannes Schulz, Sven Behnke:
Structured Prediction for Object Detection in Deep Neural Networks. 395-402 - Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter:
A Multichannel Convolutional Neural Network for Hand Posture Recognition. 403-410 - Marvin Struwe, Stephan Hasler, Ute Bauer-Wersing:
A Two-Stage Classifier Architecture for Detecting Objects under Real-World Occlusion Patterns. 411-418 - Hanchen Xiong, Sándor Szedmák, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. 419-426 - Markus Leßmann, Rolf P. Würtz:
Online Learning of Invariant Object Recognition in a Hierarchical Neural Network. 427-434 - Nathan Burles, Simon O'Keefe, James Austin:
Incorporating Scale Invariance into the Cellular Associative Neural Network. 435-442 - Yasuaki Kuroe, Hajimu Kawakami:
Shape from Shading by Model Inclusive Learning with Simultaneously Estimating Reflection Parameters. 443-450 - Oliver Lomp, Kasim Terzic, Christian Faubel, J. M. Hans du Buf, Gregor Schöner:
Instance-Based Object Recognition with Simultaneous Pose Estimation Using Keypoint Maps and Neural Dynamics. 451-458 - Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker:
How Visual Attention and Suppression Facilitate Object Recognition? 459-466 - Yoshihiro Nagano, Norifumi Watanabe, Atsushi Aoyama:
Analysis of Neural Circuit for Visual Attention Using Lognormally Distributed Input. 467-474
Supervised Learning
- Kaushala Dias, Terry Windeatt:
Dynamic Ensemble Selection and Instantaneous Pruning for Regression Used in Signal Calibration. 475-482 - Marcin Luckner:
Global and Local Rejection Option in Multi-classification Task. 483-490 - Yoichi Hayashi, Yuki Tanaka, Shota Fujisawa, Tomoki Izawa:
Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm. 491-498 - Kazuyuki Hara, Kentaro Katahira:
Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function. 499-506 - Iveta Mrázová, Zuzana Petrícková:
Fast Sensitivity-Based Training of BP-Networks. 507-514 - Fabio Aiolli, Michele Donini:
Learning Anisotropic RBF Kernels. 515-522 - Bassam A. Almogahed, Ioannis A. Kakadiaris:
Empowering Imbalanced Data in Supervised Learning: A Semi-supervised Learning Approach. 523-530 - Luiz C. B. Torres, André P. Lemos, Cristiano Leite Castro, Antônio P. Braga:
A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks. 531-538 - Sho Sonoda, Noboru Murata:
Sampling Hidden Parameters from Oracle Distribution. 539-546 - Shigeo Abe:
Incremental Input Variable Selection by Block Addition and Block Deletion. 547-554 - Shasha Wang, Liangxiao Jiang, Chaoqun Li:
A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers. 555-562 - Lydia Fischer, Barbara Hammer, Heiko Wersing:
Local Rejection Strategies for Learning Vector Quantization. 563-570 - Bassam Mokbel, Benjamin Paaßen, Barbara Hammer:
Efficient Adaptation of Structure Metrics in Prototype-Based Classification. 571-578 - César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto:
Improved Adaline Networks for Robust Pattern Classification. 579-586 - Omar Ayad:
Learning under Concept Drift with Support Vector Machines. 587-594 - Fadi Dornaika, Alireza Bosaghzadeh:
Two Subspace-Based Kernel Local Discriminant Embedding. 595-602
Dynamical Models and Time Series
- Dmytro Velychko, Dominik Endres, Nick Taubert, Martin A. Giese:
Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. 603-610 - Jungo Moriyasu, Toshimichi Saito:
A Deep Dynamic Binary Neural Network and Its Application to Matrix Converters. 611-618 - Jorge Dávila-Chacón, Johannes Twiefel, Jindong Liu, Stefan Wermter:
Improving Humanoid Robot Speech Recognition with Sound Source Localisation. 619-626 - Amine M. Khelifa, Abdelkrim Boukabou:
Control of UPOs of Unknown Chaotic Systems via ANN. 627-634 - Tingting (Amy) Gibson, Scott Heath, Robert P. Quinn, Alexia H. Lee, Joshua T. Arnold, Tharun S. Sonti, Andrew Whalley, George P. Shannon, Brian T. Song, James A. Henderson, Janet Wiles:
Event-Based Visual Data Sets for Prediction Tasks in Spiking Neural Networks. 635-642 - Yancho Todorov, Margarita Terzyiska:
Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural Network. 643-650
Neuroscience
- Daniel Malagarriga, Alessandro E. P. Villa, Jordi García-Ojalvo, Antonio J. Pons Rivero:
Excitation/Inhibition Patterns in a System of Coupled Cortical Columns. 651-658 - Jenia Jitsev:
Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network. 659-666 - Alessandra M. Soares, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Lateral Inhibition Pyramidal Neural Networks Designed by Particle Swarm Optimization. 667-674 - Ankur Sinha, Jack Jianguo Wang:
Bio-mimetic Path Integration Using a Self Organizing Population of Grid Cells. 675-682 - Jan Kneissler, Martin V. Butz:
Learning Spatial Transformations Using Structured Gain-Field Networks. 683-690 - Mohsen Firouzi, Stefan Glasauer, Jörg Conradt:
Flexible Cue Integration by Line Attraction Dynamics and Divisive Normalization. 691-698 - Christian Bell, Tobias Storck, Yulia Sandamirskaya:
Learning to Look: A Dynamic Neural Fields Architecture for Gaze Shift Generation. 699-706 - Martin A. Giese:
Skeleton Model for the Neurodynamics of Visual Action Representations. 707-714 - Alexander Gepperth, Mathieu Lefort:
Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies. 715-722 - Panagiotis Ioannou, Matthew Casey, André Grüning:
Factors Influencing Polychronous Group Sustainability as a Model of Working Memory. 723-731 - Hana Ito, Katsunori Kitano:
Pre- and Postsynaptic Properties Regulate Synaptic Competition through Spike-Timing-Dependent Plasticity. 733-740 - Youwei Zheng, Lars Schwabe, Joshua L. Plotkin:
Location-Dependent Dendritic Computation in a Modeled Striatal Projection Neuron. 741-748 - Brian Gardner, Ioana Sporea, André Grüning:
Classifying Spike Patterns by Reward-Modulated STDP. 749-756
Applications
- Henri Sintonen, Juha Raitio, Timo Honkela:
Quantifying the Effect of Meaning Variation in Survey Analysis. 757-764 - Yoshitatsu Matsuda, Kazunori Yamaguchi, Ken-ichiro Nishioka:
Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICA. 765-772 - Yongqi Liu, Qiuli Tong, Zhao Du, Lantao Hu:
Content-Boosted Restricted Boltzmann Machine for Recommendation. 773-780 - Marina Resta:
Financial Self-Organizing Maps. 781-788 - Stefan Müller, Cornelius Weber, Stefan Wermter:
RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot. 789-796 - Justin Heinermann, Oliver Kramer:
Precise Wind Power Prediction with SVM Ensemble Regression. 797-804 - Sergey Dolenko, Sergey Burikov, Tatiana A. Dolenko, Alexander Efitorov, Kirill Gushchin, Igor Persiantsev:
Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of Partial Concentrations of Salts in Multi-сomponent Water Solutions. 805-812 - Bruno J. T. Fernandes, Diego Rativa:
Lateral Inhibition Pyramidal Neural Network for Detection of Optical Defocus (Zernike Z 5). 813-820 - Rui Araújo, Nicolai Waniek, Jörg Conradt:
Development of a Dynamically Extendable SpiNNaker Chip Computing Module. 821-828 - Norman Scheel, Catie Chang, Amir Madany Mamlouk:
The Importance of Physiological Noise Regression in High Temporal Resolution fMRI. 829-836 - Ammara Masood, Adel Ali Al-Jumaily, Tariq Adnan:
Development of Automated Diagnostic System for Skin Cancer: Performance Analysis of Neural Network Learning Algorithms for Classification. 837-844
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-18 20:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
