نتایج جستجو برای: gleaning

تعداد نتایج: 307  

2004
L. Robert Pokorny Harpreet Singh

Gleaning consistent and complete data from multiple sources of unstructured information is often a difficult and time consuming process. In this paper we outline the WEAVE® system which automates the structuring and collating of unstructured data from multiple on-line Websites. WEAVE® is presented in the context of the maintenance, repair, and operations supply chain. The underlying knowledge r...

Journal: :J. Graph Algorithms Appl. 2013
Emden R. Gansner Yifan Hu Stephen C. North

The many endless rivers of text now available present a serious challenge in the task of gleaning, analyzing and discovering useful information. In this paper, we describe a methodology for visualizing a text stream in real-time, modeled as a dynamic graph and its derived map. The approach automatically groups similar messages into clusters displayed as “countries”, with keyword summaries, usin...

2015
Daniel A. Barone Ana C. Krieger

The importance of sleep can be ascertained by noting the effects of its loss, which tends to be chronic and partial, on cognition, mood, alertness, and overall health. Many theories have been put forth to explain the function of sleep in humans, including proposals based on energy conservation, ecological adaptations, neurocognitive function, neural plasticity, nervous system and physical healt...

2012
Andrew W. Feng Yazhou Huang Marcelo Kallmann Ari Shapiro

Motion blending is a widely used technique for character animation. The main idea is to blend similar motion examples according to blending weights, in order to synthesize new motions parameterizing high level characteristics of interest. We present in this paper an in-depth analysis and comparison of four motion blending techniques: Barycentric interpolation, Radial Basis Function, K-Nearest N...

2013
Yuheng Hu Fei Wang Subbarao Kambhampati

Individuals often express their opinions on social media platforms like Twitter and Facebook during public events such as the U.S. Presidential debate and the Oscar awards ceremony. Gleaning insights from these posts is of importance to analyzing the impact of the event. In this work, we consider the problem of identifying the segments and topics of an event that garnered praise or criticism, a...

2018
Krista J Patriquin Jenna E Kohles Rachel A Page John M Ratcliffe

Learning from others allows individuals to adapt rapidly to environmental change. Although conspecifics tend to be reliable models, heterospecifics with similar resource requirements may be suitable surrogates when conspecifics are few or unfamiliar with recent changes in resource availability. We tested whether Trachops cirrhosus, a gleaning bat that localizes prey using their mating calls, ca...

2018
Henrik Enquist Andrius Jurgilaitis Amelie Jarnac Åsa U J Bengtsson Matthias Burza Francesca Curbis Christian Disch J Carl Ekström Maher Harb Lennart Isaksson Marija Kotur David Kroon Filip Lindau Erik Mansten Jesper Nygaard Anna I H Persson Van Thai Pham Michael Rissi Sara Thorin Chien Ming Tu Erik Wallén Xiaocui Wang Sverker Werin Jörgen Larsson

The FemtoMAX beamline facilitates studies of the structural dynamics of materials. Such studies are of fundamental importance for key scientific problems related to programming materials using light, enabling new storage media and new manufacturing techniques, obtaining sustainable energy by mimicking photosynthesis, and gleaning insights into chemical and biological functional dynamics. The Fe...

2015
Tikenya Joseph Leslie Hodges Şeyda Özçalışkan Rebecca Williamson

Iconic gestures convey substantive information not found in speech by expressing actions or attributes associated with objects. An earlier study with adult speakers (Beattie & Shovelton, 2002) showed that adult speakers are particularly good at gleaning information from iconic gestures that use a character viewpoint (CVP; e.g., “It goes like this”+flapping arms to convey BIRD FLYING)—gestures t...

2006
Svetlana Strunjas Fred S. Annexstein Kenneth A. Berman

We consider the problem of finding a compact labelling for large, rooted web taxonomies that can be used to encode all local path information for each taxonomy element. This research is motivated by the problem of developing standards for taxonomic data, and addresses the data intensive problem of evaluating semantic similarities between taxonomic elements. Evaluating such similarities often re...

2009
Daniel Ramage Evan Rosen Jason Chuang Christopher D. Manning

As textual datasets grow in size and scope, social scientists need better tools to help make sense of that data. Despite the natural applicability of topic modeling to many such problems, word counts and tag clouds are often used as the primary means of gleaning information from textual data. We characterize two barriers to adoption encountered during a collaboration between the Stanford NLP gr...

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