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» Distributed Data Management for Large Volume Visualization
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CHI
2002
ACM
16 years 6 months ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
ICIP
2010
IEEE
15 years 4 months ago
A scalable multi-view audiovisual entertainment framework with content-aware distribution
Delivery of 3D immersive entertainment to the home remains a highly challenging problem due to the large amount of data involved, and the need to support a wide variety of differe...
Erhan Ekmekcioglu, Banu Gunel, Maheshi B. Dissanay...
BMCBI
2010
96views more  BMCBI 2010»
15 years 6 months ago
ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data
Background: Chromatin immunoprecipitation (ChIP) followed by high-throughput sequencing (ChIP-seq) or ChIP followed by genome tiling array analysis (ChIP-chip) have become standar...
Lihua J. Zhu, Claude Gazin, Nathan D. Lawson, Herv...
PODS
2001
ACM
148views Database» more  PODS 2001»
16 years 6 months ago
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
Dakshi Agrawal, Charu C. Aggarwal
NIPS
2008
15 years 7 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell