ALAN N STEINBERG - Academia.edu (original) (raw)

Uploads

Papers by ALAN N STEINBERG

Research paper thumbnail of Open Networks: Generalized Multi-Sensor Characterization

Research paper thumbnail of Real-time composite feature extraction and visualization using pixel level fusion of active/passive data

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

Research paper thumbnail of A Methodology for Designing a Human/Machine Information System to Support Harbour Security: NATO ARW Group Two Report

Research paper thumbnail of Issues and challenges of the applications of context to enhance information fusion: panel summary

Proceedings of SPIE, May 17, 2016

During the 2015 SPIE DSS conference, nine panelists were invited to highlight the trends and use ... more During the 2015 SPIE DSS conference, nine panelists were invited to highlight the trends and use of context for information fusion. This paper highlights the common issues and trends presented from the panel discussion. The different panelists highlighted methods of filtering methods, data aggregation, and the importance of context for realtime analytics. Using the panelist perspectives, the review organizes the common issues and themes as well areas of future analysis of content and context enrichment from information fusion.

Research paper thumbnail of An Ontology for Multi-Level Data Fusion

2022 25th International Conference on Information Fusion (FUSION)

Research paper thumbnail of System-Level Use of Contextual Information

Advances in computer vision and pattern recognition, 2016

A system that exploits information—e.g. to support decision making—can use contextual information... more A system that exploits information—e.g. to support decision making—can use contextual information both in providing expectations and in resolving uncertain inferences. In the latter case, contextual reasoning involves inferring desired information (values of “problem variables”) on the basis of other available information (“context variables”). Relevant contexts are often not self-evident, but must be discovered or selected as a means to problem-solving. Therefore, context exploitation involves (a) predicting the value of contextual information to meet information needs; (b) selecting information types and sources expected to provide information useful in meeting those needs; (c) determining the relevance and quality of acquired information; and (d) applying selected information to a problem at hand. Fusion of contextual information can improve the quality of inferences, but involves concerns about the quality of the contextual information. The availability and quality of predictive models dictate the ways in which contextual information can be used. Many applications are benefitted by inference systems that adaptively discover and exploit context and refine such models to meet evolving information states and information needs.

Research paper thumbnail of A Methodology for Designing a Human/Machine Information System to Support Harbour Security: NATO ARW Group Two Report

Research paper thumbnail of Innovations in disaster mental health: Psychological first aid

Professional Psychology: Research and Practice, 2008

Professional psychologists are called upon to deal with a broad array of crises and traumatic eve... more Professional psychologists are called upon to deal with a broad array of crises and traumatic events. However, training and expertise in crisis response varies widely among practitioners, and there has been considerable controversy about the value of widely disseminated mental health crisis intervention protocols that include "debriefing" as an essential feature. This article gives an overview of the developmental process, guiding principles, and core actions of the Psychological First Aid Field Operations Guide (PFA Guide), which provides guidance for practitioners in responding to immediate mental health needs of children, adults, and families who have recently experienced a disaster or terrorist event. Issues in training, provider self-care, and evaluation research are also presented. The PFA Guide presents approaches thought to be most consistently supported by current research and practice so that they can be taught, used, and evaluated in field settings. Although we expect further refinement as more systematic research becomes available, the PFA Guide represents a sustained collaborative effort to define current evidence-informed best practices that can be utilized now by practitioners involved in disaster mental health responses.

Research paper thumbnail of Erratum to: System-Level Use of Contextual Information

Advances in Computer Vision and Pattern Recognition, 2016

Research paper thumbnail of Predictive modeling of interacting agents

2007 10th International Conference on Information Fusion, 2007

A model for characterizing communications behaviors has been generalized to a probabilistic model... more A model for characterizing communications behaviors has been generalized to a probabilistic model for intentional behavior. Responsive actions are decomposed into measurement, inference, planning and control components) and are predicted as a function of the estimated capability, opportunity and intent of given agents to perform such component actions. This representational scheme enables the generation of process models for predicting capabilities development (Technical Intelligence

Research paper thumbnail of Context-sensitive state estimation

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

Research paper thumbnail of Levels?

2015 18th International Conference on Information Fusion (Fusion), 2015

This paper challenges the familiar hierarchical partitioning of data fusion problems into "l... more This paper challenges the familiar hierarchical partitioning of data fusion problems into "levels". The JDL data fusion model and its variants are seen as a method to partition a problem space in a way that tends to support different types of solutions. The layered view of fusion presented in these models is a rough engineering-based representation of a domain that has been addressed in analytically- and empirically-based models developed over centuries by philosophers and cognitive scientists. These ontological and cognitive models involve distinctions that are not all necessarily hierarchical or sequential. A hierarchical partitioning - while often convenient in characterizing fusion problems - should not be an impediment to fusion solutions that span the levels. A more flexible and comprehensive partitioning scheme is suggested.

Research paper thumbnail of Chapter 2 Formalization of “ Context ” for Information Fusion

Context exploitation can provide benefits for information fusion by establishing expectations of ... more Context exploitation can provide benefits for information fusion by establishing expectations of world states, explaining received data, and resolving ambiguous interpretations; thereby improving process efficiency, reliability, and trustworthiness of the fusion product. While everybody recognizes the importance of considering context in inferencing, designers of information fusion processes only recently have begun to incorporate context explicitly into fusion processes. Effective context exploitation requires a clear understanding of what context is, how to represent it in a formal way, and how to use it for particular information fusion applications. Although these problems are similar to the ones discussed by researchers in many other fields, consideration of context in designing information fusion systems also poses additional challenges such as understanding the relationships between situations and context, utilizing context for understanding and fusion of natural language dat...

Research paper thumbnail of Adaptive context discovery and exploitation

Proceedings of the 16th International Conference on Information Fusion, 2013

Context is used in data fusion - and in decision-making in general - to establish expectations, t... more Context is used in data fusion - and in decision-making in general - to establish expectations, to resolve ambiguity and assess performance. We model this in terms of “context variables” which a (human or automated) decision system seeks, discovers and evaluates as a means to infer or refine desired information (“problem variables”). An adaptive evidence-accrual inference method is presented, whereby context variables are selected on the basis of (a) their utility in refining explicit problem variables, (b) the probability of evaluating these variables to within a given accuracy, given candidate system actions (data collection, mining or processing), and (c) the cost of such actions. The JDL Data Fusion Model, extended to dual Resource Management functions, has been refined to accommodate adaptive decision, to include adaptive context exploitation. The interplay of Data Fusion and Resource Management (DF&RM) functionality in exploiting contextual information is developed by means of...

Research paper thumbnail of Adaptive Evidence Accrual for Context-Sensitive Situation Understanding

Research paper thumbnail of Problem-Solving Approach to Data Fusion

− This paper defines an approach for characterizing and solving data fusion problems in a system ... more − This paper defines an approach for characterizing and solving data fusion problems in a system context. We suggest a general ontology of problem-solving processes and characterize several types of data acquisition/fusion problems in terms of this ontology. By relating data acquisition/fusion problem solution to a more general theory of problem-solving, the methodology framework will assist the information system planner or analyst to • Find analogies in other domains to problems or subproblems of interest • Learn from experience in solving analogous problems • Leverage techniques and metrics used in solving analogous problems.

Research paper thumbnail of 17 Studies and Analyses with Project Correlation: An In-Depth Assessment of

Research paper thumbnail of Agent/Source Characterization for exploitation of human-generated intelligence

Agent/Source Characterization (A/SC) technology is being developed to improve the effective explo... more Agent/Source Characterization (A/SC) technology is being developed to improve the effective exploitation of human-generated data. This technology is being incorporated into a prototype system for assessing and predicting activity in threat-related Social Networks. Classical multi-source, multi-target calibration/registration / state estimation methods are applied to the joint characterization of human information sources and their reported target/ situation state estimates/ A Structural Equation Model framework is used to integrate a source agent's measurement, inference, planning and control processes with “our” independent observations of agent, targets and situations. Human behavior models are embedded in this framework to characterize both human sources and human targets.

Research paper thumbnail of Data Fusion and Response Management

Research paper thumbnail of A planner for threat assessment

Proceedings of the IEEE 1988 National Aerospace and Electronics Conference

A concept for an automatic planner to coordinate assets for the self-protection of a combat aircr... more A concept for an automatic planner to coordinate assets for the self-protection of a combat aircraft is described. The planner will provide the adaptivity to dynamic and uncertain mission situations by assembling response plans in a hierarchical fashion. Long-term plans are sketched in general terms using default estimates of performance. Specific plans are assembled incrementally as needed, by activating lower-level planners. The planner is an element of a conceptual threat assessment/response (TAR) system. The TAR system concept is being developed as an independent research effort in response to a generic need to develop technology for integrating system assessment, planning, and control functions in tactical aircraft.<<ETX>>

Research paper thumbnail of Open Networks: Generalized Multi-Sensor Characterization

Research paper thumbnail of Real-time composite feature extraction and visualization using pixel level fusion of active/passive data

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

Research paper thumbnail of A Methodology for Designing a Human/Machine Information System to Support Harbour Security: NATO ARW Group Two Report

Research paper thumbnail of Issues and challenges of the applications of context to enhance information fusion: panel summary

Proceedings of SPIE, May 17, 2016

During the 2015 SPIE DSS conference, nine panelists were invited to highlight the trends and use ... more During the 2015 SPIE DSS conference, nine panelists were invited to highlight the trends and use of context for information fusion. This paper highlights the common issues and trends presented from the panel discussion. The different panelists highlighted methods of filtering methods, data aggregation, and the importance of context for realtime analytics. Using the panelist perspectives, the review organizes the common issues and themes as well areas of future analysis of content and context enrichment from information fusion.

Research paper thumbnail of An Ontology for Multi-Level Data Fusion

2022 25th International Conference on Information Fusion (FUSION)

Research paper thumbnail of System-Level Use of Contextual Information

Advances in computer vision and pattern recognition, 2016

A system that exploits information—e.g. to support decision making—can use contextual information... more A system that exploits information—e.g. to support decision making—can use contextual information both in providing expectations and in resolving uncertain inferences. In the latter case, contextual reasoning involves inferring desired information (values of “problem variables”) on the basis of other available information (“context variables”). Relevant contexts are often not self-evident, but must be discovered or selected as a means to problem-solving. Therefore, context exploitation involves (a) predicting the value of contextual information to meet information needs; (b) selecting information types and sources expected to provide information useful in meeting those needs; (c) determining the relevance and quality of acquired information; and (d) applying selected information to a problem at hand. Fusion of contextual information can improve the quality of inferences, but involves concerns about the quality of the contextual information. The availability and quality of predictive models dictate the ways in which contextual information can be used. Many applications are benefitted by inference systems that adaptively discover and exploit context and refine such models to meet evolving information states and information needs.

Research paper thumbnail of A Methodology for Designing a Human/Machine Information System to Support Harbour Security: NATO ARW Group Two Report

Research paper thumbnail of Innovations in disaster mental health: Psychological first aid

Professional Psychology: Research and Practice, 2008

Professional psychologists are called upon to deal with a broad array of crises and traumatic eve... more Professional psychologists are called upon to deal with a broad array of crises and traumatic events. However, training and expertise in crisis response varies widely among practitioners, and there has been considerable controversy about the value of widely disseminated mental health crisis intervention protocols that include "debriefing" as an essential feature. This article gives an overview of the developmental process, guiding principles, and core actions of the Psychological First Aid Field Operations Guide (PFA Guide), which provides guidance for practitioners in responding to immediate mental health needs of children, adults, and families who have recently experienced a disaster or terrorist event. Issues in training, provider self-care, and evaluation research are also presented. The PFA Guide presents approaches thought to be most consistently supported by current research and practice so that they can be taught, used, and evaluated in field settings. Although we expect further refinement as more systematic research becomes available, the PFA Guide represents a sustained collaborative effort to define current evidence-informed best practices that can be utilized now by practitioners involved in disaster mental health responses.

Research paper thumbnail of Erratum to: System-Level Use of Contextual Information

Advances in Computer Vision and Pattern Recognition, 2016

Research paper thumbnail of Predictive modeling of interacting agents

2007 10th International Conference on Information Fusion, 2007

A model for characterizing communications behaviors has been generalized to a probabilistic model... more A model for characterizing communications behaviors has been generalized to a probabilistic model for intentional behavior. Responsive actions are decomposed into measurement, inference, planning and control components) and are predicted as a function of the estimated capability, opportunity and intent of given agents to perform such component actions. This representational scheme enables the generation of process models for predicting capabilities development (Technical Intelligence

Research paper thumbnail of Context-sensitive state estimation

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

Research paper thumbnail of Levels?

2015 18th International Conference on Information Fusion (Fusion), 2015

This paper challenges the familiar hierarchical partitioning of data fusion problems into "l... more This paper challenges the familiar hierarchical partitioning of data fusion problems into "levels". The JDL data fusion model and its variants are seen as a method to partition a problem space in a way that tends to support different types of solutions. The layered view of fusion presented in these models is a rough engineering-based representation of a domain that has been addressed in analytically- and empirically-based models developed over centuries by philosophers and cognitive scientists. These ontological and cognitive models involve distinctions that are not all necessarily hierarchical or sequential. A hierarchical partitioning - while often convenient in characterizing fusion problems - should not be an impediment to fusion solutions that span the levels. A more flexible and comprehensive partitioning scheme is suggested.

Research paper thumbnail of Chapter 2 Formalization of “ Context ” for Information Fusion

Context exploitation can provide benefits for information fusion by establishing expectations of ... more Context exploitation can provide benefits for information fusion by establishing expectations of world states, explaining received data, and resolving ambiguous interpretations; thereby improving process efficiency, reliability, and trustworthiness of the fusion product. While everybody recognizes the importance of considering context in inferencing, designers of information fusion processes only recently have begun to incorporate context explicitly into fusion processes. Effective context exploitation requires a clear understanding of what context is, how to represent it in a formal way, and how to use it for particular information fusion applications. Although these problems are similar to the ones discussed by researchers in many other fields, consideration of context in designing information fusion systems also poses additional challenges such as understanding the relationships between situations and context, utilizing context for understanding and fusion of natural language dat...

Research paper thumbnail of Adaptive context discovery and exploitation

Proceedings of the 16th International Conference on Information Fusion, 2013

Context is used in data fusion - and in decision-making in general - to establish expectations, t... more Context is used in data fusion - and in decision-making in general - to establish expectations, to resolve ambiguity and assess performance. We model this in terms of “context variables” which a (human or automated) decision system seeks, discovers and evaluates as a means to infer or refine desired information (“problem variables”). An adaptive evidence-accrual inference method is presented, whereby context variables are selected on the basis of (a) their utility in refining explicit problem variables, (b) the probability of evaluating these variables to within a given accuracy, given candidate system actions (data collection, mining or processing), and (c) the cost of such actions. The JDL Data Fusion Model, extended to dual Resource Management functions, has been refined to accommodate adaptive decision, to include adaptive context exploitation. The interplay of Data Fusion and Resource Management (DF&RM) functionality in exploiting contextual information is developed by means of...

Research paper thumbnail of Adaptive Evidence Accrual for Context-Sensitive Situation Understanding

Research paper thumbnail of Problem-Solving Approach to Data Fusion

− This paper defines an approach for characterizing and solving data fusion problems in a system ... more − This paper defines an approach for characterizing and solving data fusion problems in a system context. We suggest a general ontology of problem-solving processes and characterize several types of data acquisition/fusion problems in terms of this ontology. By relating data acquisition/fusion problem solution to a more general theory of problem-solving, the methodology framework will assist the information system planner or analyst to • Find analogies in other domains to problems or subproblems of interest • Learn from experience in solving analogous problems • Leverage techniques and metrics used in solving analogous problems.

Research paper thumbnail of 17 Studies and Analyses with Project Correlation: An In-Depth Assessment of

Research paper thumbnail of Agent/Source Characterization for exploitation of human-generated intelligence

Agent/Source Characterization (A/SC) technology is being developed to improve the effective explo... more Agent/Source Characterization (A/SC) technology is being developed to improve the effective exploitation of human-generated data. This technology is being incorporated into a prototype system for assessing and predicting activity in threat-related Social Networks. Classical multi-source, multi-target calibration/registration / state estimation methods are applied to the joint characterization of human information sources and their reported target/ situation state estimates/ A Structural Equation Model framework is used to integrate a source agent's measurement, inference, planning and control processes with “our” independent observations of agent, targets and situations. Human behavior models are embedded in this framework to characterize both human sources and human targets.

Research paper thumbnail of Data Fusion and Response Management

Research paper thumbnail of A planner for threat assessment

Proceedings of the IEEE 1988 National Aerospace and Electronics Conference

A concept for an automatic planner to coordinate assets for the self-protection of a combat aircr... more A concept for an automatic planner to coordinate assets for the self-protection of a combat aircraft is described. The planner will provide the adaptivity to dynamic and uncertain mission situations by assembling response plans in a hierarchical fashion. Long-term plans are sketched in general terms using default estimates of performance. Specific plans are assembled incrementally as needed, by activating lower-level planners. The planner is an element of a conceptual threat assessment/response (TAR) system. The TAR system concept is being developed as an independent research effort in response to a generic need to develop technology for integrating system assessment, planning, and control functions in tactical aircraft.<<ETX>>