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Discovering High-Level Information

by For Program Understanding, Xuefen Fang, Tetsuo Tamai
"... This paper presents a program analysis approach that discovers a general class of auxiliary informaton and latent program structure for incremental program comprehension. It combines traditional program analysis technology and comprehension mechanism for efficient incrementality of program underst ..."
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understanding. The auxiliary information can be used in software maintenance and other possible applications.

High-level Information Fusion: An Overview

by Gee Wah Ng
"... Data and information fusion (DIF) involves a process of combining data and information from multiple inputs. The purpose is to derive enriched information compared to that obtained from each individual input. DIF techniques were first introduced to the research community in the 1970s. The scope of a ..."
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model, the hierarchical process of data and information fusion comprises two stages, the low-level fusion processes and the high-level fusion processes. After years of intensive research that is mainly focused on low-level information fusion (IF), the focus is currently shifting towards high-level

Abstract Discovering High-Level Information for Program Understanding

by Xuefen Fang, Tetsuo Tamai
"... This paper presents a program analysis approach that discovers a general class of auxiliary informaton and latent program structure for incremental program comprehension. It combines traditional program analysis technology and comprehension mechanism for efficient incrementality of program understan ..."
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understanding. The auxiliary information can be used in software maintenance and other possible applications. KEYWORDS:program understanding; software maintenace support; high-level information 1

High-Level Information Fusion with Bayesian Semantics

by Paulo C. G. Costa, Kathryn Laskey, Kuo-chu Chang, Wei Sun, Cheol Park, Shou Matsumoto
"... In an increasingly interconnected world information comes from various sources, usually with distinct, sometimes inconsistent semantics. Transforming raw data into high-level information fusion (HLIF) products, such as situation displays, automated decision support, and predictive analysis, relies h ..."
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In an increasingly interconnected world information comes from various sources, usually with distinct, sometimes inconsistent semantics. Transforming raw data into high-level information fusion (HLIF) products, such as situation displays, automated decision support, and predictive analysis, relies

Top ten trends in high-level information fusion

by Erik Blasch, Pierre Valin, Anne-laure Jousselme, Defence R&d Canada-valcartier, Dale Lambert, Éloi Bossé, Université Laval - Paper Presented at the International Conference on Information Fusion , 2012
"... Abstract – High-Level Information Fusion (HLIF) is a relatively new exploration of methods in the last decade. The discussion will address the issues between low-level (signal processing and object state estimation and characterization) and high-level information fusion (control, situational underst ..."
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Abstract – High-Level Information Fusion (HLIF) is a relatively new exploration of methods in the last decade. The discussion will address the issues between low-level (signal processing and object state estimation and characterization) and high-level information fusion (control, situational

Issues of Uncertainty Analysis in High-Level Information Fusion

by Erik Blasch, Kathryn B. Laskey, Gee Wah Ng, Rakesh Nagi, Dafni Stampouli, Johan Schubert
"... Abstract High-Level Information Fusion (HLIF) utilizes techniques from Low-Level Information Fusion (LLIF) to support situation/impact assessment, user involvement, and mission and resource management (SUM). Given the unbounded analysis of situations, events, users, resources, and missions; it is ob ..."
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Abstract High-Level Information Fusion (HLIF) utilizes techniques from Low-Level Information Fusion (LLIF) to support situation/impact assessment, user involvement, and mission and resource management (SUM). Given the unbounded analysis of situations, events, users, resources, and missions

Using high level information for region grouping

by A. W Wardhani, R Gonzalez - In Proc. of the IEEE Region 10 Conference (Tencon’97): Speech and Image Technologies for Computing and Telecommunications , 1997
"... Effective labeling for an image indexing system requires all objects in the image to be identified. This identification process can be performed by extracting components of the objects and grouping these components together. We propose the use of image segmentation techniques as a first step to solv ..."
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to solve the problem of extracting these components automatically. The difficult task is how the grouping of these components is performed. This paper presents an approach in region grouping using high level information. This information permits image segments grouped into “more meamngfC regions

Vertical Information Management: a Framework to Support High-Level Information Requests

by Gregory A. Washburn, Lois M. L. Delcambre, Mark A. Whiting , 1995
"... Vertical information management (VIM) supports decision makers working within various levels of a management hierarchy, who seek information from potentially large, distributed, heterogeneous, and federated information sources. Decision makers are often overwhelmed by the volume of data which may be ..."
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for specifying, refining, and partitioning a high-level information request which results in the extraction, collection, aggregation, and abstraction of the underlying data. A fundamental assumption of this work is that high-level information requests may involve data that is extracted or derived from underlying

The SuperSID Project: Exploiting High-level Information for High-accuracy

by Speaker Recognition Douglas, Douglas Reynolds, Walter Andrews, Joseph Campbell, Jiri Navratil, Barbara Peskin, Andre Adami, Qin Jin, David Klusacek, Joy Abramson, Radu Mihaescu, Jack Godfrey, Doug Jones, Bing Xiang - in Proc. International Conference on Audio, Speech, and Signal Processing, Hong Kong , 2003
"... The area of automatic speaker recognition has been dominated by systems using only short-term, low-level acoustic information, such as cepstral features. While these systems have indeed produced very low error rates, they ignore other levels of information beyond low-level acoustics that convey spea ..."
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speaker information. Recently published work has shown examples that such high-level information can be used successfully in automatic speaker recognition systems and has the potential to improve accuracy and add robustness. For the 2002 JHU CLSP summer workshop, the SuperSID project (http

High-Level Information Fusion and Mission Planning in Highly Anisotropic Threat Spaces

by Mark Witkowski A, Gareth White B, Panos Louvieris B, Gökçe Görbil A, Erol Gelenbe A, Lorraine Dodd C
"... Abstract – This paper presents a Command and Control (C2) agents approach to supporting tactical decision making by operational commanders. The work addresses two C2 issues: the use of networked information sharing and high-level information fusion to allow for the visualisation of highly anisotropi ..."
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Abstract – This paper presents a Command and Control (C2) agents approach to supporting tactical decision making by operational commanders. The work addresses two C2 issues: the use of networked information sharing and high-level information fusion to allow for the visualisation of highly
Results 1 - 10 of 3,406,223