Neural Information Processing
The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis.
Does Social Network Always Promote Entrepreneurial Intentions? Part I: Theoretical Model.- Association of Anti-Histamine Drugs with Brain Tumor.- Estimating Principal Point and Nonlinear Parameters of Camera from a Planar Calibration Image.- Design of Distribution Independent Noise Filters with Online PDF Estimation.- Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Network.- Transient-Time Fractional-Space Trigonometry and Application.- Understanding Individual Play Sequences Using Growing Self Organizing Maps.- Audio-Visual Feature Fusion for Speaker Identification.- Decoding Cognitive States from Neural Activities of Somatosensory Cortex.- Cognitive Modeling of Dilution Effects in Visual Search.- Complexity Analysis of EEG Data during Rest State and Visual Stimulus.- Analysis of Alertness Status of Subjects Undergoing the Cortical Auditory Evoked Potential Hearing Test.- Price Forecasting Using Dynamic Assessment of Market Conditions and Agent's Bidding Behavior.- Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning.- Local Patch Dissimilarity for Images.- Nearly Optimal Control for Nonlinear Systems with Dead-Zone Control Input Based on the Iterative ADP Approach.- A Memetic Approach for the Knowledge Extraction.- Development of a Novel Conversational Calculator Based on Remote Online Computation.- Load Forecasting Accuracy through Combination of Trimmed Forecasts.- Self Organizing Maps for Visualization of Categories.- Learning Anticipation through Priming in Spatio-temporal Neural Networks.- Set-Similarity Joins Based Semi-supervised Sentiment Analysis.- An Architecture to Efficiently Learn Co-Similarities from Multi-view Datasets.- Incremental Face Recognition: Hybrid Approach Using Short-Term Memory and Long-Term Memory.- A Psychophysiological Analysis of Weak Annoyances in Human Computer Interfaces.- Neural and Speech Indicators of Cognitive Load for Sudoku Game Interfaces.- GeneralizedHamilton-Jacobi-Isaacs Formulation-Based Neural Network H Control for Constrained Input Nonlinear Systems.- Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering.- Emotion Recognition Using KNN Classification for User Modeling and Sharing of Affect States.- FPGA Implementation of a Cortical Network Based on the Hodgkin-Huxley Neuron Model.- Future Prediction with Hierarchical Episodic Memories under Deterministic and Stochastic Environments.- SDE-Driven Service Provision Control.- ICHEA - A Constraint Guided Search for Improving Evolutionary Algorithms.- Adaptive Dynamic Control of Quadrupedal Robotic Gaits with Artificial Reaction Networks.- Bifurcation Analysis of a Two-Dimensional Simplified Hodgkin-Huxley Model Exposed to External Electric Fields.- A Sequential Data Mining Method for Modelling Solar Magnetic Cycles.- Steady-State Visually Evoked Potential (SSVEP)-Based Brain-Computer Interface (BCI): A Low-Delayed Asynchronous Wheelchair Control System.- Weak Projective Lag Synchronization of Neural Networks with Time Delay and Parameter Mismatch.- Measuring Stress-Reducing Effects of Virtual Training Based on Subjective Response.- Calibration of Low Density EEG Sensor Arrays for Brain Source Localization.- A Novel Ontological Technique for Sentiment Analysis.- Learning Temporal Coherent Features through Life-Time Sparsity.- The Circuit Realization of a Neuromorphic Computing System with Memristor-Based Synapse Design.- Discriminative Feature Analysis and Selection for Document Classification.- Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer.- Structures of Surround Modulation for the Border-Ownership Selectivity of V2 Cells.- Characterisation of Information Flow in an Izhikevich Network.- Estimating Brain Activity of Motor Learning by Using fNIRS-GLM Analysis.- Double Approximate Identity Neural Networks Universal Approximation in Real Lebesgue Spaces.- Stabilizing Relaxed Nonlinear FMAYields a (Combinator
| Erscheint lt. Verlag | 29.9.2012 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XXII, 708 p. 263 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1104 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | Computational Neuroscience • fuzzy inference system • Intrusion Detection • Nonlinear Systems • Self-Organizing Maps |
| ISBN-13 | 9783642344749 / 9783642344749 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
