Results 1 - 10 of 317

Optimizing an SPT-Tree for Information Visualization

by Connor Gramazio, Remco Chang
"... Despite the extensive work done in the scientific visualization community on the creation and optimization of spatial data structures, there has been little adaptation of these structures in visual analytics and information visualization. In this work we present how we modify a space-partioning time ..."
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-partioning time (SPT) tree – a structure normally used in direct-volume rendering – for geospatial-temporal visualizations. We also present optimization techniques to improve the traversal speed of our structure through locational codes and bitwise comparisons. Finally, we present the results of an experiment

FAST VOLUME RENDERING USING A SHEAR-WARP FACTORIZATION OF THE VIEWING TRANSFORMATION

by Philippe G. Lacroute , 1995
"... Volume rendering is a technique for visualizing 3D arrays of sampled data. It has applications in areas such as medical imaging and scientific visualization, but its use has been limited by its high computational expense. Early implementations of volume rendering used brute-force techniques that req ..."
Abstract - Cited by 542 (2 self) - Add to MetaCart
that require on the order of 100 seconds to render typical data sets on a workstation. Algorithms with optimizations that exploit coherence in the data have reduced rendering times to the range of ten seconds but are still not fast enough for interactive visualization applications. In this thesis we present a

Dynamic Textures

by Gianfranco Doretto, Alessandro Chiuso, Ying Nian Wu, Stefano Soatto , 2002
"... Dynamic textures are sequences of images of moving scenes that exhibit certain stationarity properties in time; these include sea-waves, smoke, foliage, whirlwind etc. We present a novel characterization of dynamic textures that poses the problems of modeling, learning, recognizing and synthesizing ..."
Abstract - Cited by 377 (18 self) - Add to MetaCart
dynamic textures on a firm analytical footing. We borrow tools from system identification to capture the "essence" of dynamic textures; we do so by learning (i.e. identifying) models that are optimal in the sense of maximum likelihood or minimum prediction error variance. For the special case

A task-analytic approach to the automated design of graphic presentations

by Stephen M. Casner - ACM Transactions on Graphics , 1991
"... BOZ is an automated graphic design and presentation tool that designs graphics based on an analysis of the task for which a graphic is intended to support. When designing a graphic, BOZ aims to optimize two ways in which graphics help expedite human performance of information-processing tasks: (1) a ..."
Abstract - Cited by 165 (1 self) - Add to MetaCart
BOZ is an automated graphic design and presentation tool that designs graphics based on an analysis of the task for which a graphic is intended to support. When designing a graphic, BOZ aims to optimize two ways in which graphics help expedite human performance of information-processing tasks: (1

Minimum-energy broadcast routing in static ad hoc wireless networks

by P. -j. Wan, G. Calinescu, X. -y. Li, O. Frieder , 2001
"... Abstract | Energy conservation is a critical issue in ad hoc wireless networks for node and network life, as the nodes are powered by batteries only. One major approach for energy conservation is to route a communication session along the routes which requires the lowest total energy consumption. Th ..."
Abstract - Cited by 138 (9 self) - Add to MetaCart
. Recently three greedy heuristics were proposed in [8]: MST (minimum spanning tree), SPT (shortest-path tree), and BIP (broadcasting incremental power). They have been evaluated through simulations in [8], but little is known about their analytical performance. The main contribution of this paper

S.: Visual analytics tools for analysis of movement data

by Gennady Andrienko, Natalia Andrienko, Stefan Wrobel - SIGKDD Explorations 9
"... With widespread availability of low cost GPS devices, it is becoming possible to record data about the movement of people and objects at a large scale. While these data hide important knowledge for the optimization of location and mobility oriented infrastructures and services, by themselves they la ..."
Abstract - Cited by 65 (19 self) - Add to MetaCart
they lack the necessary semantic embedding which would make fully automatic algorithmic analysis possible. At the same time, making the semantic link is easy for humans who however cannot deal well with massive amounts of data. In this paper, we argue that by using the right visual analytics tools

Generative Modeling for Continuous Non-Linearly Embedded Visual Inference

by Cristian Sminchisescu, Allan Jepson - In ICML , 2004
"... Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional state spaces. Despite progress, optimizing such models is difficult because prior knowledge cannot be flexibly inte ..."
Abstract - Cited by 89 (12 self) - Add to MetaCart
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional state spaces. Despite progress, optimizing such models is difficult because prior knowledge cannot be flexibly

Applied visual analytics for economic decisionmaking

by Anya Savikhin, Ross Maciejewski, David S. Ebert - Visual Analytics Science and Technology , 2008
"... This paper introduces the application of visual analytics techniques as a novel approach for improving economic decision making. Par-ticularly, we focus on two known problems where subjects ’ be-havior consistently deviates from the optimal, the Winner’s and Loser’s Curse. According to economists, s ..."
Abstract - Cited by 10 (0 self) - Add to MetaCart
This paper introduces the application of visual analytics techniques as a novel approach for improving economic decision making. Par-ticularly, we focus on two known problems where subjects ’ be-havior consistently deviates from the optimal, the Winner’s and Loser’s Curse. According to economists

Visual Analytics: Combining Automated Discovery with Interactive Visualizations

by Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler - Discovery Science , 2008
"... Abstract. In numerous application areas fast growing data sets develop with ever higher complexity and dynamics. A central challenge is to filter the substantial information and to communicate it to humans in an appropriate way. Approaches, which work either on a purely analytical or on a purely vis ..."
Abstract - Cited by 7 (1 self) - Add to MetaCart
. Visual analysis techniques extend the perceptual and cognitive abilities of humans with automatic data analysis techniques, and help to gain insights for optimizing and steering complicated processes. In the paper, we introduce the basic idea of Visual Analytics, explain how automated discovery

Optimal multimodal fusion for multimedia data analysis

by Yi Wu, Edward Y. Chang, Kevin Chen-chuan Chang, John R. Smith - In ACM Multimedia , 2004
"... Considerable research has been devoted to utilizing multimodal features for better understanding multimedia data. However, two core research issues have not yet been adequately addressed. First, given a set of features extracted from multiple media sources (e.g., extracted from the visual, audio, an ..."
Abstract - Cited by 84 (1 self) - Add to MetaCart
step, we use super-kernel fusion to determine the optimal combination of individual modalities. We carefully ana-lyze the tradeoffs between three design factors that affect fusion performance: modality independence, curse of dimensionality, and fusion-model complexity. Through analytical and empirical
Results 1 - 10 of 317