Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Worthy N. Martin"'
Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to addres
Publikováno v:
Journal on Computing and Cultural Heritage. 10:1-10
Using the Chaco Research Archive (CRA) as a case study, in this article, we discuss the spectrum of intellectual decisions: conceptualization, design, and development, required to make legacy records (accumulated over many years through numerous arch
Publikováno v:
Visualization and Data Analysis
Publikováno v:
Journal of the American Society for Information Science and Technology. 55:911-922
We introduce a framework of multiple viewpoint systems for describing and designing systems that use more than one representation or set of relevance judgments on the same collection. A viewpoint is any representational scheme on some collection of d
Autor:
James P. Gunderson, Worthy N. Martin
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 12:153-164
Autonomous robots must be designed to function in real-world domains. These domains are characterized by uncertainty, yet little work has been done to quantify the effects of uncertainty on goal satisfaction. Our research on simulated repair robots i
Publikováno v:
Engineering Applications of Artificial Intelligence. 11:189-201
Dynamic environments pose multiple problems for autonomous agents. Traditionally, agents were designed to develop an internal model of the world and use it to create plans to achieve their goals. Such a strategy fails when the actual environment diff
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews). 28:151-157
We consider the problem of estimating the states of a static set of targets, given a collection of densities, each representing the state of a single target. We assume there is no a priori knowledge of which of the given densities represent common ta
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 18:412-425
Motion smear is an important visual cue for motion perception by the human vision system (HVS). However, in image analysis research, exploiting motion smear has been largely ignored. Rather, motion smear is usually considered as a degradation of imag
Publikováno v:
Computers & Mathematics with Applications. 30:55-77
In this tutorial article, we give a Bayesian derivation of a basic state estimation result for discrete-time Markov process models with independent process and measurement noise and measurements not affecting the state. We then list some properties o
Publikováno v:
Pattern Recognition Letters. 16:1197-1203
This paper describes a transputer system in which multiprocessors emulate a set of cooperative agents tracking moving objects in the scene. Agents have access to a pyramid image structure to process multi-resolution image segments containing objects