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BMCBI
2008
95views more  BMCBI 2008»
13 years 7 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
VLDB
1987
ACM
66views Database» more  VLDB 1987»
13 years 11 months ago
A New Compression Method with Fast Searching on Large Databases
In this paper, a new compression method for constant removal from very large scientific and statistical databases is presented. The new method combines the best features from seve...
Jianzhong Li, Doron Rotem, Harry K. T. Wong
CVIU
2007
129views more  CVIU 2007»
13 years 7 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji
BMCBI
2008
147views more  BMCBI 2008»
13 years 7 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
ACL
2012
11 years 10 months ago
Aspect Extraction through Semi-Supervised Modeling
Aspect extraction is a central problem in sentiment analysis. Current methods either extract aspects without categorizing them, or extract and categorize them using unsupervised t...
Arjun Mukherjee, Bing Liu 0001