Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
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Các bài báo tiêu biểu
Information fusion for image analysis: geospatial foundations for higher-level fusion
Tập 1 - Trang 562-569 vol.1
In support of the AFOSR program in Information Fusion, the CNS Technology
Laboratory at Boston University is developing and applying neural models of
image and signal processing, pattern learning and recognition, associative
learning dynamics, and 3D visualization, to the domain of Information Fusion for
Image Analysis in a geospatial context. Our research is focused by a challenge
problem involvi...
#Image analysis #Laboratories #Context modeling #Signal processing #Pattern recognition #Image recognition #Vehicle dynamics #Visualization #Focusing #Terrorism
A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion
Tập 2 - Trang 1308-1315 vol.2
There is an obvious need to be able to integrate both linguistic-based and
stochastic-based input information in data fusion. In particular, this need is
critical in addressing problems of track association, including cyber-state
intrusions. This paper treats this issue through a new insight into how three
apparently distinct mathematical tools can be combined: "boolean relational
event algebra" (...
#Algebra #Fuzzy logic #Fuzzy sets #Educational institutions #Probabilistic logic #Arithmetic #Natural languages #Stochastic processes #Information security #Testing
Knowledge-based fusion of Formets: discussion of an example
Tập 1 - Trang 374-379 vol.1
This research project for decision support and situation awareness goes beyond
classical systems for command and control. As enhancement to tactical situation
display, a tool based on situation independent fusion methods is developed. Its
rules and templates are given by background knowledge and a priori data. We
analyze formatted qualified command language (e.g. Formets) for its suitability
to re...
#Command and control systems #Control systems #Data analysis #Command languages #Natural languages #Information analysis #Analytical models #Reconnaissance #Merging #Testing
A Markov model for initiating tracks with the probabilistic multi-hypothesis tracker
Tập 1 - Trang 735-742 vol.1
An important problem in multi-target tracking is track initiation and
termination. The tracking algorithm aims to discriminate false detections caused
by various sources of interference from valid detections caused by targets of
interest. This is a problem of model order estimation. One approach to solving
this problem with the Probabilistic Data Association Filter has been referred to
as target v...
#Target tracking #Filters #Technological innovation #Clutter #Surveillance #Observability #Sensor systems #Information processing #Interference #State estimation
Learning Bayesian networks. I. A theory based on MAP-MDL criteria
Tập 2 - Trang 769-776 vol.2
Bayesian networks provide a powerful architecture for information fusion of
multiple disparate variables. A theory of learning discrete Bayesian networks
from data is presented in this paper. The theory is based on a joint criterion
of maximizing the joint probability or interchangeably minimizing the joint
description length of the data and the Bayesian network model including the
network structu...
#Bayesian methods #Probability distribution #NP-hard problem #Intelligent networks #Intelligent structures #Remote sensing #Power engineering and energy #Floors #Buildings #Parameter estimation
Structured Knowledge Source Integration and its applications to information fusion
Tập 2 - Trang 1340-1346 vol.2
Structured Knowledge Source Integration, or SKSI, is an ongoing research and
development project at Cycorp intended to enable the Cyc knowledge base to
integrate (access, query, assimilate, and merge) a variety of external
structured knowledge sources, such as databases, spreadsheets, XML or DAML
tagged text, GIS datasets, and queryable Web pages. With SKSI, the Cyc knowledge
base will be able to ...
#Object oriented modeling #Relational databases #Information analysis #Information management #Knowledge management #Military standards #Object oriented databases #Data visualization #Research and development #Sorting
Optimal detection in a distributed multisensor architecture
Tập 1 - Trang 34-40 vol.1
A detector defines a subset of inputs for which a detection is declared, as
such, the performance of a detector is limited by the input set. The optimal
detector which is presented in this paper defines the detection set which
provides the maximum probability of detection for a given probability of false
alarm. Further improvements in detection performance require a change to the
input set. Inclus...
#Detectors #Noise measurement #Matched filters #Performance analysis
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
Tập 1 - 2002
The following topics are dealt with: AFOSR Information Fusion Initiative;
multiple model tracking; probabilistic multi-hypothesis tracking; track fusion;
GMTI tracking; information fusion for critical infrastructure protection; image
fusion and exploitation; data association; information modeling and learning;
information fusion techniques for surveillance and security applications;
situation anal...
#Multisensor systems #Bayes procedures #Security #Surveillance #Fuzzy logic #Estimation #Monte Carlo methods #Probability
Experiments on individual classifiers and on fusion of a set of classifiers
Tập 1 - Trang 272-277 vol.1
In the last decades many classification methods and fusers have been developed.
Considerable gains have been achieved in the classification performance by
fusing and combining different classifiers. We experiment a new method for ship
infrared imagery recognition based on the fusion of individual results in order
to obtain a more reliable decision. To optimize the results of every class of
ship, w...
#Marine vehicles #Neural networks #Classification tree analysis #Infrared imaging #Image recognition #Nearest neighbor searches #Missiles #Performance gain #Optimization methods #Feedforward neural networks
A proposed system for segmentation of information sources in portals and search engines repositories
Tập 2 - Trang 1450-1456 vol.2
Nowadays, there is a huge volume of information on the Web, which is
disseminated to users in a chaotic way. In order to be easily accessed, the
information must be clustered and classified in appropriate knowledge areas.
Thus, many heavily visited sites or portals attempt to unify the access to
multiple information sources, providing by this way classification of
information. The paper proposes a...
#Portals #Search engines #System testing #Business #Feedback #Information filtering #Information retrieval #Chaos #System performance #Information systems