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24th International Conference on Artificial Neural Networks
ICANN 201415-19 September 2014
Hamburg, Germany
Organization
General Chair
Stefan Wermter Hamburg, Germany
Program Co-Chairs
Wlodzislaw Duch Torun, Poland, ENNS Past-President
Timo Honkela Helsinki, Finland
PetiaKoprinkova-Hristova Sofia,Bulgaria
Günther Palm Ulm, Germany
Alessandro E.P. Villa Lausanne, Switzerland, ENNS President
Cornelius Weber Hamburg, Germany
Local Organising Committee Chairs (Hamburg, Germany)
SvenMagg JohannesBauer
Jorge Dávila-Chacón Stefan Heinrich
Doreen Jirak Katja Kösters
Erik Strahl
PrefaceTheInternationalConferenceonArtificialNeuralNetworks(ICANN)istheannualflagshipconfer-ence of the European Neural Network Society (ENNS). Its wide scope in neural networks rang-es from machine learning algorithms to models of real nervous systems. ICANN aims at bring-ing together researchers from different research fields,suchascomputerscience,neuroscience,cognitive science and engineering. Further aims are to address new challenges, share solutions and discuss future research directions toward developing more intelligent artificial systemsand increasing our understanding of neural and cognitive processes in the brain.
The ICANN series of conferences was initi-ated in 1991 and soon became the major Euro-peanconferenceinitsfield,withexpertscomingfrom several continents. The 24th ICANN is held on 15-19 September 2014 at the University of Hamburg. The hosts are the University of Ham-burg and its Knowledge Technology Institute (http://www.informatik.uni-hamburg.de/WTM/).
The conference has attracted contributions from among the most internationally established researchers in the neural network communi-ty. The six keynote speakers in 2014 cover awide spectrum:ChristopherM. Bishop, expertinmachine learning;JunTani,expert in recur-rent neural networks; Paul F.M.J. Verschure, expert in autonomous systems; Yann LeCun,expertinneuralvision;BarbaraHammer,expertin computational intelligence; Kevin N. Gurney, expertincomputationalneuroscience.Wealsoacknowledge support from the Körber Founda-tion for a special session on ``Human-Machine Interaction’’.
A total of 173 papers was submitted to the ICANN 2014 conference. A large program com-mittee, including accepted authors from recent ICANN conferences, performed altogether 744 reviews, delivering an average of 4.3 reviews per paper. This helped to obtain a reliable eval-uation score for each paper, which was comput-ed by the Springer Online Conference Service by averaging the reviewers’ ratings and taking
intoaccountthereviewers’confidences.Paperswere sorted with respect to their scores and the 108 papers with highest score were accepted. Furthermore, the multiple professional reviews delivered valuable feedback to all authors.
The conference program features 24 ses-sions, which contain 3 talks each, and which are arranged in 2 parallel tracks. There are 2 post-er sessions with 33 posters and 2 live demon-strations of research results. Talks and posters are categorised into topical areas, providing the titles for the conference sessions and for the chapters in the Springer LNCS proceedings volume. Its chapters are ordered roughly in the chronological order of the conference sessions.
We would like to thank all the participants for their contribution to the conference program and to the proceedings. Many thanks go to the local organizers for their support and hospitality. Wealso express our sincere thanks to all ac-tive reviewers for their assistance in the review procedures and their valuable comments and recommendations.
July 2014
Stefan Wermter Cornelius Weber Wlodzislaw Duch
Timo Honkela Petia Koprinkova-Hristova
Sven Magg Günther Palm
Alessandro E.P. Villa
09:00
Opening SessionKeynote Paul Verschure
Coffee Break
Lunch Break
Registration
Welcome Reception ENNS Board Meeting led by Alessandro Villa
Posters and Demonstrations Posters
Keynote Christopher Bishop Keynote Jun Tani
Poster Spotlights 1 and Demonstrations Poster Spotlights 2
Recurrent Networks - ESNs
Recurrent Networks - Sequence Learning
Human Machine Interaction I
Human Machine Interaction II
Recurrent Networks -Theory Deep Networks
Clustering and Classification
Competitive Lerning and Self-Organisation
Theory - Optimisation
Theory - Layered Networks
Trees and Graphs Reinforcement Learning and Action
Coffee Break
10:00
11:00
11:30
12:30
14:00
15:00
16:00
16:20
17:00
18:00
19:00
Tue 16 Sept 2014 Wed 17 Sept 2014
Program Overview
Keynote Yann LeCun Keynote Kevin Gurney
Coffee Break
Lunch Break
Conference Dinner
Keynote Barbara Hammer
Vision - Detection and Recognition
Neuroscience - Line Attractors and
Neural Fields
Special Session on Human-Machine Interaction chaired by Doreen Jirak
Lecture Halls are in Building ESA1-West, Edmund-Siemers-Allee 1, Hamburg
Vision - Invariances and Shape Recovery
Neuroscience - Spiking and Single
Cell Models
Vision - Attention and Pose
Estimation
Events in Lecture Hall 221
Neuroscience - Cortical Models
Supervised Learning - Ensembles
Applications - Users and Social
Technologies
Supervised Learning - Regression
Applications - Technical Systems
Events in Lecture Hall 121
Dynamical Modelsand Time Series
Supervised Learning - Classification
Coffee Break
Thu 18 Sept 2014 Fri 19 Sept 2014
18:00-19:00Registration
Mon 15 Sep 2014
Program Overview
Closing Session
Detai led Program
Tue 16 Sept 2014 09:30-10:00Hall 221
Opening Session
Prof. Dr. Stefan WermterFull Professor in Computer Science Head of Knowledge Technology ICANN General Chair
Prof. Dr. Heinrich GraenerDean of the Faculty of Mathematics Informatics and Natural Sciences
Prof. Dr. Claudia S. LeopoldVice President of Universität Hamburg
Tue 16 Sept 2014 10:00 - 11:00Hall 221Chair: Timo Honkela
Recurrent Networks - Sequence LearningDynamicCortexMemory:EnhancingRecurrentNeural Networks for Gradient-based Sequence LearningSebastian Otte, Marcus Liwicki, Andreas Zell
LearningandRecognitionofMultiple FluctuatingTemporalPatternsUsingS-CTRNNShingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
RegularizedRecurrentNeuralNetworksforDataEfficientDual-TaskLearningSigurd Spieckermann, Siegmund Düll, Steffen Udluft, Thomas Runkler
Hall 121Chair: Marina Resta
Competitive Learning and Self-OrganisationDiscriminative Fast Soft Competitive LearningFrank-Michael Schleif
HumanActionRecognitionwithHierarchicalGrowing Neural Gas LearningGerman Ignacio Parisi, Cornelius Weber, Stefan Wermter
Real-TimeAnomalyDetectionwithaGrowingNeural GasNicolai Waniek, Simon Bremer, Jorg Conradt
Tue 16 Sept 2014 11:30-12:30Hall 221Chair: Claudius Gros
Recurrent Networks - ESNs
On-line Training of ESN and IP Tuning EffectPetia Koprinkova-Hristova
An Incremental Approach to Language Acquisition:ThematicRoleAssignmentwithEcho State NetworksXavier Hinaut, Stefan Wermter
Memory Capacity of Input-driven Echo State Networks at the Edge of ChaosPeter Barancok, Igor Farkas
Hall 121Chair: Leslie Smith
Clustering and Classification
ANon-ParametricMaximumEntropyClusteringHideitsu Hino, Noboru Murata
Instance Selection using Two Phase Collabora-tiveNeighborRepresentationFadi Dornaika
Global Metric Learning by Gradient DescentJens Hocke, Thomas Martinetz
Tue 16 Sept 2014 14:00-15:00Hall 221Chair: Stefan Wermter
Keynote Christopher Bishop
Model-BasedMachineLearning
Tue 16 Sept 2014 15:00-16:00Hall 221Chair: Igor Farkaš
Recurrent Networks - Theory
InteractiveEvolvingRecurrentNeuralNetworksare Super-Turing UniversalJérémie Cabessa, Alessandro Villa
Attractor Metadynamics in Adapting Neural NetworksClaudius Gros, Mathias Linkerhand, Valentin Walther
BasicFeatureQuantitiesofDigitalSpikeMapsHiroki Yamaoka, Narutoshi Horimoto, Toshimichi Saito
Hall 121Chair: Simon O’Keefe
Trees and Graphs
An Algorithm for Directed Graph EstimationHideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Merging Strategy for Local Model Networks based on the Lolimot AlgorithmTorsten Fischer, Oliver Nelles
Factor Graph Inference Engine on the SpiNNaker Neural Computing SystemIndar Sugiarto, Jorg Conradt
Tue 16 Sept 2014 16:20-18:00Hall 221 and FoyerChair: Cornelius Weber
Poster Session 1
AdaptiveCriticalReservoirswithPowerLawForgettingofUnexpectedInputSequencesNorbert Michael Mayer
ClassificationwithRejectOptionUsingtheSelf-OrganizingMapRicardo Sousa, Ajalmar Rocha Neto, Jaime Cardoso, Guilherme Barreto
LeavingLocalOptimainUnsupervisedKernelRegressionDaniel Lückehe, Oliver Kramer
High-DimensionalBinaryPatternClassificationbyScalarNeuralNetworkTreeVladimir Kryzhanovskiy, Magomed Malsagov, Juan Antonio Clares Tomas, Irina Zhelavskaya
OnImprovingtheClassificationCapabilityofReservoirComputingForArabicSpeechRecognitionAbdulrahman Alalshekmubarak, Leslie Smith
NeuralNetworkBasedDataFusionforHandPoseRecognitionwithMultipleToFSensorsAlexander Gepperth, Stefan Geisler, Uwe Handmann, Thomas Kopinski
SparseSingle-hiddenLayerFeedforwardNetworkforMappingNaturalLanguageQuestionstoSQLQueriesIssam Hadj Laradji, Lahouari Ghouti, Faisal Saleh, Musab AlTurki
TowardsContext-DependenceEyeMovementsPredictioninSmartMeetingRoomsRedwan Mohammed, Lars Schwabe, Oliver Staadt
Minimizing Computation in Convolutional Neural NetworksJingsheng Cong, Bingjun Xiao
One-shot Learning with Feedback for Multi-layered Convolutional NetworkKunihiko Fukushima
AGaussianProcessReinforcementLearningAlgorithmwithAdaptabilityandMinimalTuningRequirementsJonathan Strahl, Timo Honkela, Paul Wagner
Sensorimotor Control Learning using a New Adaptive Spiking Neuro-Fuzzy Machine, Spike-IDS and STDPMohsen Firouzi, Saeed Bagheri Shouraki, Jorg Conradt
Model-basedIdentificationofEEGMarkersforLearningOpportunitiesinanAssociativeLearningTask with Delayed FeedbackFelix Putze, Daniel Holt, Tanja Schultz, Joachim Funke
Financial Self-Organizing MapsMarina Resta
Tue 16 Sept 2014 16:20-18:00Hall 221 and FoyerChair: Cornelius Weber
Demonstrations
EntrepreneurshipSupportBasedonMixedBio-ArtificialNeuralNetworkSimulator(ESBBANN)Eugenio M. Fedriani, Manuel Chaves-Maza
LiveDemonstration:Real-TimeMotorRotationFrequencyDetectionbySpike-basedVisualandAuditorySensoryFusiononAERandFPGAAntonio Rios-Navarro, Angel Jimenez-Fernandez, Elena Cerezuela-Escudero, Manuel Rivas, Gabriel Jimenez-Moreno, Alejandro Linares-Barranco
Wed 17 Sept 2014 09:00-10:00Hall 221 Chair: Doreen Jirak
Keynote Paul F.M.J. Verschure
ABiologicallyGroundedArchitectureforaSocialRobot:DistributedAdaptiveControlandtheiCub
Wed 17 Sept 2014 10:00 - 11:00Hall 221Chair: Doreen Jirak
Human-Machine Interaction I
HumanActivityRecognitiononSmartphonesWithAwarenessofBasicActivitiesandPosturalTransitionsJorge Luis Reyes Ortiz, Luca Oneto, Alessandro Ghio, Albert Samà, Davide Anguita, Xavier Parra
sNN-LDS: Spatio-temporal Non-negative SparseCodingforHumanActionRecognitionThomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert
Interactive Language Understanding with MultipleTimescaleRecurrentNeuralNetworksStefan Heinrich, Stefan Wermter
Hall 121Chair: Toshimichi Saito
Theory - Optimimisation
Row-actionProjectionsforNonnegativeMatrixFactorizationRafal Zdunek
Structure Perturbation Optimization for Hopfield-typeNeuralNetworksGang Yang, Xirong Li, JiePing XU, Qin Jin
Complex-valuedMultilayerPerceptronSearchUtilizingSingularRegionsofComplex-valuedParameter SpaceSeiya Satoh, Ryohei Nakano
Wed 17 Sept 2014 11:30-12:30Hall 221Chair: Doreen Jirak
Human-Machine Interaction II
AneuralDynamicArchitectureResolvesPhras-esaboutSpatialRelationsinVisualScenesMathis Richter, Jonas Lins, Sebastian Schneegans, Gregor Schöner
ChineseImageCharacterRecognitionUsingDNN and Machine Simulated Training SamplesJinfeng Bai, Zhineng Chen, Bailan Feng, Bo Xu
Polyphonic Music Generation by Modeling Tem-poralDependenciesUsingaRNN-DBNKratarth Goel, Raunaq Vohra, J. K. Sahoo
Hall 121Chair: Kunihiko Fukushima
Theory - Layered Networks
Mix-MatrixTransformationMethodforMax-CutProblemIakov Karandashev, Boris Kryzhanovsky
ComplexityofShallowNetworksRepresentingFunctions with Large VariationsVera Kurkova, Marcello Sanguineti
VisualizingHierarchicalRepresentationinAMultilayeredRestrictedRBFNetworkPitoyo Hartono, Paul Hollensen, Thomas Trappenberg
Wed 17 Sept 2014 14:00-15:00Hall 221Chair: Doreen Jirak
Keynote Jun Tani
Self-OrganizationandCompositionalityinCognitiveBrains:ANeuro-RoboticsStudy
Wed 17 Sept 2014 15:00-16:00Hall 221Chair: Vera Kurkova
Deep Networks
VariationalEMLearningofDSBNswith conditionalDeepBoltzmannMachinesXing Zhang, Siwei Lyu
Improving Deep Neural Network Performance byReusingFeaturesTrainedwithTransductiveTransferenceChetak Kandaswamy, Luis Silva, Luis Alexandre, Jorge Santos, Joaquim Marques de Sa
FromMaxouttoChannel-Out:Encoding Information on Sparse PathwaysQi Wang, Joseph JaJa
Hall 121Chair: Petia Koprinkova
Reinforcement Learning and Action
ContingentFeaturesforReinforcement LearningNathan Sprague
ANon-StationaryInfinitePartially-ObservableMarkov Decision ProcessSotirios Chatzis, Dimitrios Kosmopoulos
Tool-bodyAssimilationModelbasedonBodyBabblingandaNeuro-dynamicalSystemforMotion GenerationKuniyuki Takahashi, Tetsuya Ogata, Hadi Tjandra, Shingo Murata, Hiroaki Arie, Shigeki Sugano
Wed 17 Sept 2014 16:20-18:00Hall 221 and FoyerChair: Cornelius Weber
Poster Session 2
TowardsSparsityandSelectivity:BayesianLearningofRestrictedBoltzmannMachineforEarlyVisual FeaturesHanchen Xiong, Sandor Szedmak, Antonio Rodriguez-sanchez, Justus Piater
ImprovingtheConvergencePropertyofSoftCommitteeMachinesByReplacingDerivativewithTruncated Gaussian FunctionKazuyuki Hara, Kentaro Katahira
AGeometricalApproachforParameterSelectionofRadialBasisFunctionsNetworksLuiz Torres, Andre Lemos, Cristiano Castro, Antônio Braga
Sampling Hidden Parameters from Oracle DistributionSho Sonoda, Noboru Murata
IncrementalInputVariableSelectionbyBlockAdditionandBlockDeletionShigeo Abe
ImprovedAdalineNetworksforRobustPatternClassificationCésar Mattos, Jose Daniel Alencar Santos, Guilherme Barreto
Learning under Concept Drift with Support Vector MachinesOmar AYAD
Two subspace-based Kernel Local Discriminant EmbeddingFadi Dornaika, Alireza Bosagzadeh
Control of UPOs of Unknown Chaotic Systems via ANNAbdelkrim Boukabou
Event-based Visual Data Sets for Prediction Tasks in Spiking Neural NetworksTingting 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
Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural NetworkYancho Todorov, Margarita Terziyska
Bio-mimeticPathIntegrationUsingaSelfOrganizingPopulationofGridCellsAnkur Sinha, Jack Jianguo Wang
Learning Spatial Transformations using Structured Gain-Field NetworksJan Kneissler, Martin Butz
Latency-basedProbabilisticInformationProcessinginRecurrentNeuralHierarchiesAlexander Gepperth, Mathieu Lefort
ClassifyingSpikePatternsbyReward-ModulatedSTDPBrian Gardner, Ioana Sporea, Andre Gruning
Lateral Inhibition Pyramidal Neural Network for Detection of Optical defocus (Zernike Z5)Bruno Fernandes, Diego Rativa
DevelopmentofaDynamicallyExtendableSpiNNakerChipComputingModuleRui Araújo, Nicolai Waniek, Jorg Conradt
TheImportanceofPhysiologicalNoiseRegressioninHighTemporalResolutionfMRINorman Scheel, Catie Chang, Amir Madany
Development of Automated Diagnostic System for skin Cancer: Performance Analysis of Neural NetworkLearningAlgorithmsforClassificationAmmara Masood, Adel Ali Al-Jumaily, Tariq Adnan
Thu 18 Sept 2014 09:00-10:00Hall 221Chair: Jörg Conradt
Keynote Yann LeCun
Title will follow soon
Thu 18 Sept 2014 10:00 - 11:00Hall 221Chair: Rolf Würtz
Vision - Detection and RecognitionStructured Prediction for Object Detection in Deep Neural NetworksHannes Schulz, Sven Behnke
A Multichannel Convolutional Neural Network forHandPostureRecognitionPablo Barros, Sven Magg, Cornelius Weber, Stefan Wermter
ATwo-stageClassifierArchitectureforDetectingObjectsunderReal-worldOcclusionPatternsMarvin Struwe, Stephan Hasler, Ute Bauer-Wersing
Hall 121Chair: Bruno Fernandes
Supervised Learning - EnsemblesDynamic Ensemble Selection and Instanta-neousPruningforRegressionusedinSignalCalibrationKaushala Dias, Terry Windeatt
GlobalandLocalRejectionOptioninMulti–clas-sificationTaskMarcin Luckner
Comparative Study of Accuracies on the Family oftheRecursive-RuleExtractionAlgorithmYoichi Hayashi, Yuki Tanaka, Shota Fujisawa, Tomoki Izawa
Thu 18 Sept 2014 11:30-12:30Hall 221Chair: Ute Bauer-Wersing
Vision - Invariances and Shape RecoveryOnlineLearningofInvariantObjectRecognitionin a Hierarchical Neural NetworkMarkus Leßmann, Rolf P. Würtz
Incorporating Scale Invariance into the Cellular Associative Neural NetworkNathan Burles, Simon O’Keefe, Jim Austin
Shape from Shading by Model Inclusive Learning with Simultaneously Estimating ReflectionParametersYasuaki Kuroe, Hajimu Kawakami
Hall 121Chair: Ryohei Nakano
Supervised Learning - Regression
FastSensitivity-BasedTrainingofBP-NetworksIveta Mrazova, Zuzana Petrickova
LearningAnisotropicRBFKernelsFabio Aiolli, Michele Donini
Empowering Imbalanced Data in Supervised Learning: A Semi-Supervised Learning ApproachBassam Almogahed, Ioannis Kakadiaris
Thu 18 Sept 2014 14:00-15:00Hall 221Chair: Shigeo Abe
Keynote Barbara Hammer
Metric Learning and Model Interpretability
Thu 18 Sept 2014 15:00-16:00Hall 221Chair: Thomas Martinetz
Vision - Attention and Pose EstimationInstance-basedObjectRecognitionwith Simultaneous Pose Estimation Using Keypoint Maps and Neural DynamicsOliver Lomp, Kasim Terzić, Christian Faubel, J. M. H. du Buf, Gregor Schöner
How Visual Attention and Suppression Facilitate ObjectRecognition?Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker
Analysis of Neural Circuit for Visual Attention using Lognormally Distributed InputYoshihiro Nagano, Norifumi Watanabe, Atsushi Aoyama
Hall 121Chair: Norbert Michael Mayer
Dynamical Models and Time Series
Coupling Gaussian Process Dynamical Models withProduct-of-ExpertsKernelsDmytro Velychko, Dominik Endres, Nick Taubert, Martin Giese
ADeepDynamicBinaryNeuralNetworkandItsApplicationtoMatrixConvertersJungo Moriyasu, Toshimichi Saito
ImprovingHumanoidRobotSpeech RecognitionwithSoundSourceLocalisationJorge Dávila Chacón, Johannes Twiefel, Jindong Liu, Stefan Wermter
Thu 18 Sept 2014 16:20-17:30Hall 221Chair: Martin Giese
Neuroscience - Cortical Models
Excitation/inhibitionPatternsinaSystemofCoupled Cortical ColumnsDaniel Malagarriga, Alessandro E.P. Villa, Jordi García-Ojalvo, Antonio J. Pons
Self-generatedOff-lineMemoryReprocessingStrongly Improves Generalization in a Hierarchi-calRecurrentNeuralNetworkJenia Jitsev
Lateral Inhibition Pyramidal Neural Networks Designed by Particle Swarm OptimizationAlessandra Soares, Bruno Fernandes, Carmelo Bastos-Filho
Hall 121Chair: Alexander Gepperth
Supervised Learning - ClassificationA CFS-based Feature Weighting Approach to NaiveBayesTextClassifiersShasha Wang, Liangxiao Jiang, Chaoqun Li
LocalRejectionStrategiesforLearningVectorQuantizationLydia Fischer, Barbara Hammer, Heiko Wersing
EfficientAdaptationofStructureMetricsinPro-totype-basedClassificationBassam Mokbel, Benjamin Paassen, Barbara Hammer
Fri 19 Sept 2014 09:00-10:00Hall 221Chair: Yulia Sandamirskaya
Keynote Kevin N. Gurney
Decidingwhattodonext:ModelsofActionSelectionintheBasalGangliaatMultipleLevelsofDescription
Fri 19 Sept 2014 10:00 - 11:00Hall 221Chair: André Grüning
Neuroscience - Line Attractors and Neural FieldsFlexibleCueIntegrationbyLineAttractionDynamics and Divisive NormalizationMohsen Firouzi, Stefan Glasauer, Jorg Conradt
Learning to Look: a Dynamic Neural Fields Architecture for Gaze Shift GenerationChristian Bell, Tobias Storck, Yulia Sandamirskaya
Skeleton Model for the Neurodynamics of Visual ActionRepresentationsMartin Giese
Hall 121Chair: Stefanos Kollias
Applications - Users and Social TechnologiesQuantifyingtheEffectofMeaningVariationinSurvey AnalysisHenri Sintonen, Juha Raitio, Timo Honkela
Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICAYoshitatsu Matsuda, Kazunori Yamaguchi, Ken-ichiro Nishioka
Content-BoostedRestrictedBoltzmannMachineforRecommendationYongqi Liu, Qiuli Tong, Zhao Du, Lantao Hu
Fri 19 Sept 2014 11:30-12:30Hall 221Chair: Alessandro Villa
Neuroscience - Spiking and Single Cell ModelsFactorsInfluencingPolychronousGroupSus-tainability as a Model of Working MemoryPanagiotis Ioannou, Matthew Casey, Andre Gruning
Pre-andPostsynapticPropertiesRegulateSynaptic Competition through Spike-Timing-De-pendent PlasticityHana Ito, Katsunori Kitano
Location-dependent Dendritic Computation in a Modeled Striatal Projection NeuronYouwei Zheng, Lars Schwabe, Joshua Plotkin
Hall 121Chair: Janet Wiles
Applications - Technical Systems
RatSLAMonHumanoids-ABio-inspiredSLAMModelAdaptedtoaHumanoidRobotStefan Müller, Cornelius Weber, Stefan Wermter
Precise Wind Power Prediction with SVM En-sembleRegressionJustin Heinermann, Oliver Kramer
Neural Network Approaches to Solution of the InverseProblemofIdentificationandDeter-mination of Partial Concentrations of Salts in Multi-component Water SolutionsSergey Dolenko, Sergey Burikov, Tatiana Dolenko, Alexander Efitorov, Kirill Gushchin, Igor Persiantsev
Fri 19 Sept 2014 12:30-13:00Hall 221Chair: Stefan Wermter
Closing Session
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