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» A New Indexing Method for High Dimensional Dataset
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BMCBI
2008
122views more  BMCBI 2008»
15 years 24 days ago
ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins
Background: The expansion of raw protein sequence databases in the post genomic era and availability of fresh annotated sequences for major localizations particularly motivated us...
Aarti Garg, Gajendra P. S. Raghava
132
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PAMI
2011
14 years 7 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
IROS
2009
IEEE
200views Robotics» more  IROS 2009»
15 years 7 months ago
Fast geometric point labeling using conditional random fields
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, M...
118
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COMPLIFE
2006
Springer
15 years 4 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
125
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PVLDB
2010
129views more  PVLDB 2010»
14 years 11 months ago
iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques
Graphs are of growing importance in modeling complex structures such as chemical compounds, proteins, images, and program dependence. Given a query graph Q, the subgraph isomorphi...
Wook-Shin Han, Jinsoo Lee, Minh-Duc Pham, Jeffrey ...