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10. Visual Alphabets: Video Classification by End Users

by Menno Israël, Egon L. Van Den Broek, Peter Van Der Putten, Marten J. Den
"... Summary. The work presented here introduces a real time automatic scene classifier within content-based video retrieval. In our envisioned approach end users like documentalists, not image processing experts, build classifiers interactively, by simply indicating positive examples of a scene. Classif ..."
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as a set of highly specialized, learned feature detectors, as an alternative to letting an image processing expert determine features a priori. The end user or domain expert thus builds a visual alphabet that can be used to describe the image in features that are relevant for the task at hand. We

A Visual Analytics Approach for Correlation, Classification, and Regression Analysis

by Chad A. Steeda, J. Edward, Swan Iic, Patrick J. Fitzpatrickb, T. J. Jankun-kellyc
"... New approaches that combine the strengths of humans and machines are necessary to equip analysts with the proper tools for exploring today’s increasing complex, multivariate data sets. In this paper, a visual data mining framework, called the Multidimensional Data eXplorer (MDX), is described that a ..."
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, visual correlation mining, automated axis arrangements and filtering, and data classification techniques. The current work provides a detailed description of the system as well as a discussion of key design aspects and critical feedback from domain experts.

Multiform Visualization of heterogeneous data spaces

by Christian Partl , 2012
"... Investigators from different domains are frequently confronted with large volumes of data originating from multiple sources that need to be analyzed simultaneously. Inhomogeneities within datasets thereby often obstruct the analysis process, but can also be the source potentially interesting relatio ..."
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. The proposed visualization techniques were evaluated in case studies with domain experts in the context of multiple genomic datasets that are used for the characterization of cancer subtypes. The experts were able to quickly reproduce known results from the literature and also gained new insights into the data.

RESEARCH Open Access RMaNI: Regulatory Module Network Inference

by Piyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, Mark A Ragan
"... Background: Cell survival and development are orchestrated by complex interlocking programs of gene activation and repression. Understanding how this gene regulatory network (GRN) functions in normal states, and is altered in cancers subtypes, offers fundamental insight into oncogenesis and disease ..."
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more generally useful to the research community. Results: We present the RMaNI (Regulatory Module Network Inference) framework, which supports cancer subtype-specific or condition specific GRN inference and differential network analysis. It combines both transcriptomic as well as genomic data sources

Human-Computer Interaction for Complex Pattern Recognition Problems. Book chapter

by Jie Zou, George Nagy - in Data Complexity in Pattern Recognition, Springer-Verlag , 2006
"... We review some applications of human-computer interaction that alleviate the complexity of visual recognition by partitioning it into human and machine tasks to exploit the differences between human and machine capabilities. Human involvement offers advantages, both in the design of automated patter ..."
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We review some applications of human-computer interaction that alleviate the complexity of visual recognition by partitioning it into human and machine tasks to exploit the differences between human and machine capabilities. Human involvement offers advantages, both in the design of automated

Interactive Virtual Probing of 4D MRI Blood-Flow

by Roy Van Pelt, Javier Oliván Bescós, Marcel Breeuwer, Rachel E. Clough, M. Eduard Gröller, Bart Ter Haar Romeny, Anna Vilanova
"... Fig. 1. Interactive virtual probe with flow visualization approaches, enabling exploration of cardiovascular 4D MRI blood-flow data. Color in the leftmost rendition encodes the blood-flow vorticity, while color in other renditions conveys the local blood-flow speed. Abstract—Better understanding of ..."
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, and serves as a navigational object for visual exploration. The difficult task of determining position and orientation along the view-direction is automated by a fitting approach, aligning the probe with the orientations of the velocity field. The aligned probe provides an interactive seeding basis

Software reverse engineering as a sensemaking task (in press).

by A R Bryant , R F Mills , G L Peterson , M R Grimaila , Adam R Bryant , Robert F Mills , Gilbert L Peterson , Michael R Grimaila - Journal of Information Assurance and Security. , 2012
"... Abstract: Software reverse engineering involves analyzing computer program executables to understand their structure, functionality, and behavior. In this paper, common reverse engineering functions are decomposed to isolate the information-processing and sensemaking subtasks involved. This paper r ..."
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the reliability of the findings Subject matter expert interviews are often used in cognitive task analysis to isolate the appropriate terminology and to scope the investigation to relevant subsets of domain tasks B. Verbal Protocol Analysis Another procedure often included in task analyses is a verbal protocol

PROCEEDINGS Open Access Towards human-computer synergetic analysis of large-scale biological data

by Rahul Singh, Hui Yang, Ben Dalziel, Daniel Asarnow, William Murad, David Foote, Matthew Gormley, Jonathan Stillman, Susan Fisher
"... Background: Advances in technology have led to the generation of massive amounts of complex and multifarious biological data in areas ranging from genomics to structural biology. The volume and complexity of such data leads to significant challenges in terms of its analysis, especially when one seek ..."
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in many problem domains. However, it also is limiting, since domain experts are forced to apply their instincts and expertise such as contextual reasoning, hypothesis formulation, and exploratory analysis after the algorithm has produced its results. In many areas where the organization and interaction

Helping novices explore data: facilitating mental model creation of an information visualization system by displaying information flows

by Henri Schröter
"... MASTER Helping novices explore data facilitating mental model creation of an information visualization system by displaying information flows Schröter, H.L. Award date: 2015 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a s ..."
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complicated interaction for the novices. Finally contextual information and additional help should be included, to explain visualization jargon The differences in performance between novices and experts have been studied extensively. A broad meta-analysis of eye tracker studies into visualizations from

DOI 10.1007/s00778-012-0302-x SPECIAL ISSUE PAPER Automating the database schema evolution process

by Carlo Curino, Hyun Jin, Moon Alin Deutsch, Carlo Zaniolo, C. Curino (b, H. J. Moon, A. Deutsch, C. Zaniolo
"... Abstract Supporting database schema evolution repre-sents a long-standing challenge of practical and theoretical importance for modern information systems. In this paper, we describe techniques and systems for automating the critical tasks of migrating the database and rewriting the legacy applicati ..."
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Abstract Supporting database schema evolution repre-sents a long-standing challenge of practical and theoretical importance for modern information systems. In this paper, we describe techniques and systems for automating the critical tasks of migrating the database and rewriting the legacy
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Results 1 - 10 of 53
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