NDLI: Multidimensional Selection Model for Classification

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Volume 2 - 2005

Table of contents

Seesaw method for combining parameter estimates

A closed-form solution for the probability hypothesis density filter

Can the Bayesian and Dempster-Shafer approaches be reconciled? Yes

Capabilities-based force aggregation using random sets

Shedding new light on Zadeh's criticism of Dempster's rule of combination

Fusion of multi-level decision systems using the transferable belief model

Managing deceitful reports with the transferable belief model

Multimodal data association based on the use of belief functions for multiple target tracking

Information fusion based on new proportional conflict redistribution rules

Example of continuous basic belief assignment in the DSmT paradigm

Multi-hypotheses tracking algorithm based on the belief theory

Performance evaluation of fusion rules for multitarget tracking in clutter based on generalized data association

Higher level fusion for post-disaster casualty mitigation operations

A general algebraic structure for situation analysis

Factored particle filtering for data fusion and situation assessment in urban environments

Comparing future situation pictures

Lessons learned from developing SAWA: a situation awareness assistant

An evidential model of multisensor decision fusion for force aggregation and classification

Intent inference using a potential field model of environmental influences

Truth maintenance system with probabilistic constraints for enhanced level two fusion

Symbolic argumentation for decision making under uncertainty

Smart decision support system using parsimonious information fusion

Knowledge-based information fusion for improved situational awareness

Case based reasoning approach to automatic comparison of models

A stochastic model for natural feature representation

Distributed fusion and communication management for target identification

Vision system for decentralised wide area surveillance using multiple nodes

Rich probabilistic representations for bearing only decentralised data fusion

A distributed data fusion approach for mobile ad hoc networks

Quality of information for data fusion in net centric publish and subscribe architectures

Threat evaluation and weapons allocation in network-centric warfare

Surveillance by means of a random sensor network: a heterogeneous sensor approach

Recognizing mobile organizations from column formations using hierarchical hidden Markov models: a simulation experiment

Non-linear Bayesian CBRN source term estimation

Machine learning based text analysis for intelligence collation

A probabilistic chemical sensor model for data fusion

Fusing disparate information within the 4D/RCS architecture

Development of an integrated GUI framework for post-disaster data fusion visualization

Opportunistic sensor resource management for extended regions

Tree based data aggregation in sensor networks using polynomial regression

Shape-constraint for accurate segmentation in remote sensing imagery

A graph theoretic approach to data incest management in network centric warfare

Fusion performance using a validation approach

Autonomous self-localization and mapping agents

Constrained bandwidth allocation in multi-sensor information fusion: a mechanism design approach

Unifying learning in games and graphical models

Mobile agent-based distributed fusion (MADFUSION) system

Fusion of dynamic and static features for gait recognition over time

Probabilistic fusion of gait features for biometric verification

Multi-stage fusion for face localization

Image fusion for face recognition

Collaborative strategies of partially interacting agents in a partially observable universe

Distributed fault detection via particle filtering and decision fusion

Prognostic information fusion for constant load systems

An approach to threat assessment

Context fusion for driveability analysis

A pedestrian detection system based on thermopile and radar sensor data fusion

Sensor fusion approaches to guideway and obstacle detection in the autotaxi system

A precrash system based on sensor data fusion of laser scanner and short range radars

Unscented Kalman filter design for curvilinear motion models suitable for automotive safety applications

EKF and particle filter track-to-track fusion: a quantitative comparison from radar/lidar obstacle tracks

Radio map fusion for indoor positioning in wireless local area networks

Robust, low-bandwidth, multi-vehicle mapping

Design of an A-SMGCS prototype at Barajas airport: available information and architecture

Design of an A-SMGCS prototype at Barajas airport: data fusion algorithms

Design of an A-SMGCS prototype at Barajas airport: airport surveillance sensors bias estimation

Intelligent task scheduling in sensor networks

A data fusion approach to biosurveillance

Fusion of open source information

Stock tracking : a new multi-dimensional stock forecasting approach

Novel wavelet-based pitch estimation and segmentation of non-stationary speech

Logical data fusion for biological hypothesis evaluation

Prediction of unintentional lane departure using evidence theory

Analysis of tracker performance models for centralized and distributed tracking

Data fusion for wearable physiological sensor platforms

Comparative study of information fusion methods for sonar images classification

Performance evaluation methods for data-fusion capable tactical platforms

A survey of filtering techniques for vehicle tracking by radar equipped automotive platforms

Sensor resource management with level 2 fusion using Markov chain models

Remote sensing image segmentation using SVM with automatic selection for the kernel parameters

Unified framework for sampling/importance resampling algorithms

Passive low SNR tracking by spatial-temporal fusion sliding-window Radon transforms

Multisensor data fusion in the frame of the TBM on reals. Application to land vehicle positioning

An agent-based C4ISR testbed

Situation assessments using object oriented probabilistic relational models

Comparison and choice of models in tracking target with coordinated turn motion

A testbed for the development, demonstration and testing of information fusion systems

Refinements of the command and control game component

Multi hypothesis track extraction and maintenance of GMTI sensor data

Joint tracking and classification of nonlinear trajectories of multiple objects using the transferable belief model and multi-sensor fusion framework

Prediction and reconstruction of distributed dynamic phenomena characterized by linear partial differential equations

Depth map calibration by stereo and wireless sensor network fusion

A multi-sensor validation approach for human activity monitoring

Automatically balancing accuracy and comprehensibility in predictive modeling

A new approach for evaluating the classification performance of multi-sensor fusion systems

Enhanced image feature extraction for object tracking

Color segmentation using an Eigen color representation

Proactive decision fusion for site security

A knowledge processing middleware framework and its relation to the JDL data fusion model

Efficient DOA estimation method employing refined improved polynomial rooting

Using collective decision system support to manage error in wireless sensor fusion

Special Session on Emerging Issues in Image Fusion

Astronomical multiband image fusion and restoration using pyramidal analysis and Markovian segmentation

New applications for information fusion and soil moisture forecasting

Sensor deployment optimization for detecting maneuvering targets

Bayesian variable resolution modeling for autonomous satellite cluster data fusion

Fusion of voice, gesture, and human-computer interface controls for remotely operated robot

Multidimensional Selection Model for Classification

Volume 1 - 2005

Sixth International Conference of Information Fusion, 2003. Proceedings of the

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)

Proceedings of the Third International Conference on Information Fusion

Multidimensional Selection Model for Classification

Content Provider	IEEE Xplore Digital Library
Copyright Year	2005
Abstract	Recent research efforts dedicated to classifier fusion have made it clear that combining performance strongly depends on careful selection of classifiers. Classifier performance depends, in turn, on careful selection of features, which on top of that could be applied to different subsets of the data. On the other hand, there is already a number of classifier fusion techniques available and the choice of the most suitable method relates back to the selection in the classifier, feature and data spaces. Despite this apparent selection multidimensionality, typical classification systems either ignore the selection altogether or perform selection along only single dimension, usually choosing the optimal subset of classifiers. The presented multidimensional selection sketches the general framework for the optimised selection carried out simultaneously on many dimensions of the classification model. The selection process is controlled by the specifically designed genetic algorithm, guided directly by the final recognition rate of the composite classifier. The prototype of the 3-dimensional fusion-classifier-feature selection model is developed and tested on some typical benchmark datasets.
Starting Page	1652
Ending Page	1659
File Size	5271152
Page Count	8
File Format	PDF
ISBN	0780392868
DOI	10.1109/ICIF.2005.1592054
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	genetic algorithm Classification feature selection classifier fusion
Content Type	Text
Resource Type	Article

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