Buch, Englisch, Band 745, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1210 g
New Directions in Computational Perception
Buch, Englisch, Band 745, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1210 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-57379-1
Verlag: Springer Berlin Heidelberg
Perceptual processes in humans and machines, investigated
and simulated by means of the computational approach, are
the subject matter of this volume. Researchers in artificial
intelligence, pattern recognition, and psychology discuss
aspects of vision, speech understanding, sensory-motor
coordination, and their interplay with cognitive and
behavioral functionalities.
The papers adopt the computational approach as the basic
research paradigm. Connectionist models, numerical and
statistical techniques, symbolic (logic-based) formalisms,
and hybrid representations provide the formal background to
the research. Some of the papers were prepared for a
workshop held in Trieste, Italy, in October 1992.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Mathematik | Informatik EDV | Informatik Betriebssysteme Windows Betriebssysteme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering Objektorientierte Softwareentwicklung
Weitere Infos & Material
Gestalt problems in cognitive psychology: Field theory, invariance and auto-organisation.- Neural network learning in an ecological and evolutionary context.- Trends in pattern recognition.- Computer vision systems: Functionality and structure integration.- On the use of auditory models in speech technology.- Automatic speech recognition with neural networks: Beyond nonparametric models.- New shape from Shading methods.- Orientation-dependent effects in neural networks.- Identification of pattern dimensionality by self-organization.- A Markovian model for perceptual grouping of different shape primitives.- Segmented image reduction.- Design and acquisition of a task-oriented spontaneous-speech database.- Language and ambiguity.- Spatial Logic for image representation and retrieval-by-contents.- Communication among perceiving agents.- Perception of mental states from communication.- Perceptual grouping for scene interpretation in an active vision system.- Using viewer-centered representations in machine vision.- A non-linear integration process for the selection of visual information.- Distributed perceptive paradigms: Preliminary statements.- Anticipatory tracking of a moving object.- A time-to-crash detector based on area expansions: Example of an opto-motor reflex.- “Intelligent” telepresence: Introducing virtual reality in advanced robots.
