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» Computing LTS Regression for Large Data Sets
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IADIS
2008
14 years 11 months ago
Sisa: Seeded Iterative Signature Algorithm for Biclustering Gene Expression Data
One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
Neelima Gupta, Seema Aggarwal
94
Voted
CVPR
2010
IEEE
15 years 6 months ago
Visual Event Recognition in Videos by Learning from Web Data
We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
Lixin Duan, Dong Xu, Wai-Hung Tsang, Jiebo Luo
114
Voted
BMCBI
2008
175views more  BMCBI 2008»
14 years 10 months ago
Comprehensive inventory of protein complexes in the Protein Data Bank from consistent classification of interfaces
Background: Protein-protein interactions are ubiquitous and essential for all cellular processes. High-resolution X-ray crystallographic structures of protein complexes can reveal...
Andrew J. Bordner, Andrey A. Gorin
94
Voted
VLDB
2007
ACM
129views Database» more  VLDB 2007»
15 years 4 months ago
Anytime Measures for Top-k Algorithms
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this paper, we initiate research on the anytime b...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
68
Voted
KI
2007
Springer
15 years 4 months ago
Extracting Patterns of Individual Movement Behaviour from a Massive Collection of Tracked Positions
A EU-funded project GeoPKDD develops methods and tools for analysis of massive collections of movement data, which describe changes of spatial positions of discrete entities. Withi...
Gennady L. Andrienko, Natalia V. Andrienko