IJCNN 2006 - PDF Preprint Papers

IJCNN 2006 IEEE - INNS - ENNS International Joint Conference on Neural Networks

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IJCNN
2006
IEEE

261views Neural Networks» more IJCNN 2006»

Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks

13 years 10 months ago

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— Multimodal integration of sensory information has clear advantages for survival: events that can be sensed in more than one modality are detected more quickly and accurately, a...

Lennart Gustafsson, Andrew P. Paplinski

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Id	Views	Title	Status

1	261	Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks	claim
2	236	Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs	claim
3	218	Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO	claim
4	210	Fast Modifications of the SpikeProp Algorithm	claim
5	203	Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control	claim
6	194	Nonlinear principal component analysis of noisy data	claim
7	186	Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques	claim
8	185	An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System	claim
9	183	A Comparison between Recursive Neural Networks and Graph Neural Networks	claim
10	182	Improved Snake Model for Fast Image Segmentation	claim
11	181	Reservoir-based techniques for speech recognition	claim
12	180	Anti-swing control for overhead crane with neural compensation	claim
13	166	Modular Multilayer Perceptron for WLAN Based Localization	claim
14	165	Support Vector Machines to Weight Voters in a Voting System of Entity Extractors	claim
15	165	Improving the Convergence of Backpropagation by Opposite Transfer Functions	claim
16	165	Recognizing Human Emotion from Partial Facial Features	claim
17	164	Bacteria Foraging: A New Tool for Simultaneous Robust Design of UPFC Controllers	claim
18	164	Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor	claim
19	162	Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm	claim
20	160	Patterns, Hypergraphs and Embodied General Intelligence	claim
21	159	Greedy forward selection algorithms to Sparse Gaussian Process Regression	claim
22	158	SOM-Based Sparse Binary Encoding for AURA Classifier	claim
23	158	Co-training using RBF Nets and Different Feature Splits	claim
24	158	Vergence Control of 2 DOF Pan-Tilt Binocular Cameras using a Log-Polar Representation of the Visual Cortex	claim
25	157	An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina	claim
26	157	Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting	claim
27	157	Comparing Kernels for Predicting Protein Binding Sites from Amino Acid Sequence	claim
28	156	Correntropy: A Localized Similarity Measure	claim
29	156	Local Support Vector Regression for Financial Time Series Prediction	claim
30	156	A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition	claim
31	156	Online Training of a Generalized Neuron with Particle Swarm Optimization	claim
32	155	Sparse Optimization for Second Order Kernel Methods	claim
33	155	A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering	claim
34	151	Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization	claim
35	150	Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks	claim
36	150	Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces	claim
37	147	C2FS: An Algorithm for Feature Selection in Cascade Neural Networks	claim
38	146	Learning the Kernel in Mahalanobis One-Class Support Vector Machines	claim
39	146	Biologically Inspired KFLANN Place Fields for Robot Localization	claim
40	145	TempUnit: A bio-inspired neural network model for signal processing	claim
41	143	Backpropagation for Population-Temporal Coded Spiking Neural Networks	claim
42	143	Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method	claim
43	143	Common Subset Selection of Inputs in Multiresponse Regression	claim
44	139	Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP	claim
45	139	A Mobile Vision System with Reconfigurable Intelligent Agents	claim
46	138	Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach	claim
47	136	An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization	claim
48	135	Automated Model Selection (AMS) on Finite Mixtures: A Theoretical Analysis	claim
49	134	Pattern Selection for Support Vector Regression based on Sparseness and Variability	claim
50	133	Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing	claim
51	133	Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots	claim
52	132	Semi-Supervised Model Selection Based on Cross-Validation	claim
53	131	Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model	claim
54	131	Nonlinear Component Analysis Based on Correntropy	claim
55	130	Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement	claim
56	130	LogitBoost with Trees Applied to the WCCI 2006 Performance Prediction Challenge Datasets	claim
57	130	Bi-directional Modularity to Learn Visual Servoing Tasks	claim
58	129	Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine	claim
59	128	Recurrent Neural Network Based Gating for Natural Gas Load Prediction System	claim
60	128	Prototype based outlier detection	claim
61	127	Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers	claim
62	127	Generalization Improvement in Multi-Objective Learning	claim
63	127	Behavior of Fatigable SOM and its Application to Clustering	claim
64	127	Reinforcement Learning for Parameterized Motor Primitives	claim
65	126	An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants	claim
66	126	Neural Network Control of Spark Ignition Engines with High EGR Levels	claim
67	126	Predicting Juvenile Diabetes from Clinical Test Results	claim
68	125	Particle Swarm Optimization based Defensive Islanding of Large Scale Power System	claim
69	125	A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems	claim
70	125	Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions	claim
71	125	An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classification	claim
72	124	Generalizing Independent Component Analysis for Two Related Data Sets	claim
73	124	Divide and Conquer Strategies for MLP Training	claim
74	124	Tristability in Model Neurons	claim
75	124	A computational intelligence-based criterion to detect non-stationarity trends	claim
76	123	Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations	claim
77	123	Particle Swarm Optimization of Fuzzy ARTMAP Parameters	claim
78	123	Spatiotemporal Pattern Recognition via Liquid State Machines	claim
79	121	In Situ Training of CMOL CrossNets	claim
80	121	Learning a Rendezvous Task with Dynamic Joint Action Perception	claim
81	121	Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions	claim
82	121	Alleviating Catastrophic Forgetting via Multi-Objective Learning	claim
83	121	Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer	claim
84	120	Tentacled Self-Organizing Map for Effective Data Extraction	claim
85	119	A Structured Context Model for Grammar Learning	claim
86	119	A Monte Carlo Sequential Estimation for Point Process Optimum Filtering	claim
87	118	A Connectionist Approach to Speech Understanding	claim
88	117	Relative Gradient Learning for Independent Subspace Analysis	claim
89	117	Sparse Bayesian Models: Bankruptcy-Predictors of Choice?	claim
90	117	Learning to Rank by Maximizing AUC with Linear Programming	claim
91	116	Nominal-scale Evolving Connectionist Systems	claim
92	115	Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems	claim
93	114	Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks	claim
94	113	Variance Stabilizing Regression Ensembles for Environmental Models	claim
95	113	Learning using Dynamical Regime Identification and Synchronization	claim
96	113	Modeling Cortical Maps with Feed-Backs	claim
97	113	Oscillatory Network for Synchronization-Based Adaptive Image Segmentation	claim
98	112	Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification	claim
99	112	An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors	claim
100	111	Training Coordination Proxy Agents	claim
101	111	Preparing More Effective Liquid State Machines Using Hebbian Learning	claim
102	111	Evolutionary Ensemble Creation and Thinning	claim
103	110	Venn-like models of neo-cortex patches	claim
104	109	On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning	claim
105	109	Modeling the Evolution of Decision Rules in the Human Brain	claim
106	109	Extraction of Components with Structured Variance	claim
107	109	Reinforcement Learning for Platform-Independent Visual Robot Control	claim
108	109	Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons	claim
109	108	Dynamic Hyperparameter Scaling Method for LVQ Algorithms	claim
110	108	P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data	claim
111	108	In-Place Learning for Positional and Scale Invariance	claim
112	107	Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network	claim
113	107	From Light to Spikes: a Large-Scale Retina Simulator	claim
114	107	Some stability properties of dynamic neural networks with different time-scales	claim
115	107	Small-catchment flood forecasting and drainage network extraction using computational intelligence	claim
116	107	Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron	claim
117	105	Regularization and Averaging of the Selective Naive Bayes classifier	claim
118	105	Model Selection via Bilevel Optimization	claim
119	104	Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization	claim
120	104	Classification by means of Evolutionary Product-Unit Neural Networks	claim
121	103	Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD	claim
122	103	A Heuristic for Free Parameter Optimization with Support Vector Machines	claim
123	103	How Not to Evaluate a Developmental System	claim
124	103	Durability of Affordable Neural Networks against Damages	claim
125	102	High-speed Bi-directional Function Approximation using Plausible Neural Networks	claim
126	102	Effective Training Methods for Function Localization Neural Networks	claim
127	102	Training of Large-Scale Feed-Forward Neural Networks	claim
128	101	Event modeling of message interchange in stochastic neural ensembles	claim
129	101	Training Reformulated Product Units in Hybrid Neural Networks	claim
130	101	Predictive Random Graph Ranking on the Web	claim
131	101	Optimal In-Place Learning and the Lobe Component Analysis	claim
132	101	A Variational EM Approach to Predicting Uncertainty in Supervised Learning	claim
133	100	An optimization approach to achieve unsupervised segmentation and binding in a dynamical network	claim
134	98	Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads	claim
135	98	Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks	claim
136	97	Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex	claim
137	97	Is High Resolution Representation More Effective for Content Based Image Classification?	claim
138	95	Real-Time Implementation of an Optimal Transient Neurocontroller for a GCSC	claim
139	94	Kernel Based Functional Gene Grouping	claim
140	94	A Self-Organising Map Approach for Clustering of XML Documents	claim
141	93	Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations	claim
142	92	Predictive Uncertainty in Environmental Modelling	claim
143	91	Constraints on the Design Process for Systems with Human Level Intelligence	claim
144	91	Global Reinforcement Learning in Neural Networks with Stochastic Synapses	claim
145	90	Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification	claim
146	89	Semi-supervised feature selection via multiobjective optimization	claim
147	88	Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model	claim
148	87	Studies on Sparse Array Cortical Modeling and Memory Cognition Duality	claim
149	87	Forecasting Time Series with a New Architecture for Polynomial Artificial Neural Network	claim
150	86	Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers	claim
151	86	Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network	claim
152	86	A Very Small Chaotic Neural Net	claim
153	86	Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve	claim
154	85	The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator	claim
155	85	Learning to Segment Any Random Vector	claim
156	85	Local Cluster Neural Network On-chip Training	claim
157	85	Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches	claim
158	82	A Weighted Voting and Sequential Combination of Classifiers Scheme for Human Face Recognition	claim
159	82	Generic Prioritization Framework for Target Selection and Instrument Usage for Reconnaissance Mission Autonomy	claim
160	79	Cooperation-based Clustering for Profit-maximizing Organizational Design	claim
161	78	Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction	claim
162	76	The Mechanism of Thought	claim
163	76	A Learning Method for Synthesizing Spiking Neural Oscillators	claim
164	75	A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions	claim
165	73	Statistical Mechanics of Online Learning for Ensemble Teachers	claim
166	71	Knowledge Representation and Possible Worlds for Neural Networks	claim

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