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BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
WIRN
2005
Springer
14 years 26 days ago
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
Alberto Bertoni, Giorgio Valentini
IEEECIT
2007
IEEE
14 years 1 months ago
Ensembles of Region Based Classifiers
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
Sungha Choi, Byungwoo Lee, Jihoon Yang
CVPR
2004
IEEE
14 years 9 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
BMCBI
2008
58views more  BMCBI 2008»
13 years 7 months ago
Discrimination of outer membrane proteins with improved performance
Background: Outer membrane proteins (OMPs) perform diverse functional roles in Gramnegative bacteria. Identification of outer membrane proteins is an important task. Results: This...
Changhui Yan, Jing Hu, Yingfeng Wang