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» Approximate Data Structures with Applications
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95
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HT
2006
ACM
15 years 7 months ago
The evolution of metadata from standards to semantics in E-learning applications
Metadata attempts to describe the content, format, purpose and structure of data. Over the past few years, the IEEE-LOM standard has dominated the metadata world in e-learning app...
Hend S. Al-Khalifa, Hugh C. Davis
104
Voted
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 1 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
132
Voted
IJIT
2004
15 years 2 months ago
Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a re
A genetic algorithm (GA) based feature subset selection algorithm is proposed in which the correlation structure of the features is exploited. The subset of features is validated a...
Gert Van Dijck, Marc M. Van Hulle, M. Wevers
221
Voted
ICDE
2008
IEEE
152views Database» more  ICDE 2008»
16 years 2 months ago
Efficient Merging and Filtering Algorithms for Approximate String Searches
We study the following problem: how to efficiently find in a collection of strings those similar to a given query string? Various similarity functions can be used, such as edit dis...
Chen Li, Jiaheng Lu, Yiming Lu
115
Voted
BILDMED
2009
167views Algorithms» more  BILDMED 2009»
15 years 2 months ago
Landmark-Based 3D Elastic Registration of Pre- and Postoperative Liver CT Data
The qualitative and quantitative comparison of pre- and postoperative image data is an important possibility to validate computer assisted surgical procedures. Due to deformations ...
Thomas Lange, Stefan Wörz, Karl Rohr, Peter-M...