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» Object detection at multiple scales improves accuracy
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ICPR
2008
IEEE
14 years 6 months ago
Object detection at multiple scales improves accuracy
For detecting objects in natural visual scenes, several powerful image features have been proposed which can collectively be described as spatial histograms of oriented energy. Th...
Stanley M. Bileschi
BMCBI
2008
140views more  BMCBI 2008»
13 years 5 months ago
Improved accuracy of multiple ncRNA alignment by incorporating structural information into a MAFFT-based framework
Background: Structural alignment of RNAs is becoming important, since the discovery of functional non-coding RNAs (ncRNAs). Recent studies, mainly based on various approximations ...
Kazutaka Katoh, Hiroyuki Toh
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 5 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
BMCBI
2004
158views more  BMCBI 2004»
13 years 4 months ago
Improvement of alignment accuracy utilizing sequentially conserved motifs
Background: Multiple sequence alignment algorithms are very important tools in molecular biology today. Accurate alignment of proteins is central to several areas such as homology...
Saikat Chakrabarti, Nitin Bhardwaj, Prem A. Anand,...
BMCBI
2008
128views more  BMCBI 2008»
13 years 5 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...