Brain, Vision, and Artificial Intelligence: First International Symposium, BVAI 2005, Naples, Italy, October 19-21, 2005, Proceedings / Edition 1by Massimo De Gregorio
Pub. Date: 11/28/2005
Publisher: Springer Berlin Heidelberg
This book constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. The 48 revised papers presented together with 6 invited lectures were carefully reviewed and selected from more than 80 submissions for inclusion in the book. The papers are addressed to… See more details below
This book constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. The 48 revised papers presented together with 6 invited lectures were carefully reviewed and selected from more than 80 submissions for inclusion in the book. The papers are addressed to the following main topics and sub-topics: brain basics - neuroanatomy and physiology, development, plasticity and learning, synaptic, neuronic and neural network modelling; natural vision - visual neurosciences, mechanisms and model systems, visual perception, visual cognition; artificial vision - shape perception, shape analysis and recognition, shape understanding; artificial inteligence - hybrid intelligent systems, agents, and cognitive models.
- Springer Berlin Heidelberg
- Publication date:
- Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics Series, #3704
- Edition description:
- Product dimensions:
- 9.21(w) x 6.14(h) x 1.19(d)
Table of Contents
Brain Basics.- Towards a Dynamic Neuropharmacology: Integrating Network and Receptor Levels.- Cortical Architecture.- Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation.- Neural Connectivity and Dynamical Regimes of Neural Activity in a Network of Interactive Populations.- Signal Transmission and Synchrony Detection in a Network of Inhibitory Interneurons.- Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks.- Inverse First Passage Time Method in the Analysis of Neuronal Interspike Intervals of Neurons Characterized by Time Varying Dynamics.- Coding by Neural Population Oscillations?.- Neural Code and Irregular Spike Trains.- Natural Vision.- Basic Retinal Circuitry in Health and Disease.- Does a Plane Imitate a Bird? Does Computer Vision Have to Follow Biological Paradigms?.- A Neural Model of Human Object Recognition Development.- Photoelectric Response of Bacteriorhodopsin in Thin PVA Films and Its Model.- Non-image Forming Function of the Extraocular Photoreceptors in the Ganglion of the Sea Slug Onchidium.- A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes.- Multi-modal Primitives as Functional Models of Hyper-columns and Their Use for Contextual Integration.- Three Dilemmas of Signal- and Symbol-Based Representations in Computer Vision.- An LGN Inspired Detect/Transmit Framework for High Fidelity Relay of Visual Information with Limited Bandwidth.- On Cognitive Dynamic Map and Its Use for Navigation in Space.- Visual Selection in Human Frontal Eye Fields.- Multi-scale Keypoints in V1 and Face Detection.- Limitation of Maintenance of Feature-Bound Objects in Visual Working Memory.- Molecular and Functional Diversity of Visual Pigments: Clues from the Photosensitive Opsin–Like Proteins of the Animal Model Hydra.- Learning Location Invariance for Object Recognition and Localization.- Artificial Inteligence.- Enacted Theories of Visual Awareness: A Neuromodelling Analysis.- Mind as an Anticipatory Device: For a Theory of Expectations.- A Cognitive Model for Autonomous Agents Based on Bayesian Programming.- A Structural Learning Algorithm and Its Application to Predictive Toxicology Evaluation.- Combining Rule-Based and Sample-Based Classifiers – Probabilistic Approach.- Mapping and Combining Combinatorial Problems into Energy Landscapes via Pseudo-Boolean Constraints.- Robust Ellipse-Specific Fitting for Real-Time Machine Vision.- A Feature-Based Model of Semantic Memory: The Importance of Being Chaotic.- Semantic Web Services with SOUL.- Artificial Vision.- Modeling the Brain’s Operating System.- A Bayesian Approach to Situated Vision.- A Fuzzy Scale-Space Approach to Feature-Based Image Representation and Retrieval.- Active Acquisition of 3D Map in Robot Brain by Combining Motion and Perceived Images.- Lateral Interaction in Accumulative Computation: Motion-Based Grouping Method.- Detecting and Ranking Foreground Regions in Gray-Level Images.- Incomplete Contour Representations and Shape Descriptors: ICR Test Studies.- Rotation and Scale Invariant Shape Description Using the Contour Segment Curvature.- A Study on Enhanced Dynamic Signature Verification for the Embedded System.- Spatio-temporal Attention Mechanism for More Complex Analysis to Track Multiple Objects.- Stereovision Disparity Analysis by Two-Dimensional Motion Charge Map Inspired in Neurobiology.- Image Analysis and Automatic Surface Identification by a Bi-level Multi-classifier.- Real Time Virtualized Real Object Manipulation in an Augmented Reality Environment.- Dominant Plane Detection Using Optical Flow and Independent Component Analysis.- Algorithm That Mimics Human Perceptual Grouping of Dot Patterns.- Heuristic Algorithms for Fast and Accurate Tracking of Moving Objects in Unrestricted Environments.- Single Image Estimation of Facial Albedo Maps.- Optical Flow Computation for Compound Eyes: Variational Analysis of Omni-Directional Views.- Latent Semantic Description of Iconic Scenes.- Pose-Invariant Face Recognition Using Deformation Analysis.
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