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BMCBI
2010
98views more  BMCBI 2010»
14 years 9 months ago
Learning to predict expression efficacy of vectors in recombinant protein production
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Uen...
80
Voted
MCS
2004
Springer
15 years 2 months ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
ICBA
2004
Springer
224views Biometrics» more  ICBA 2004»
15 years 2 months ago
Matching 2.5D Scans for Face Recognition
Abstract. The performance of face recognition systems that use twodimensional images is dependent on consistent conditions such as lighting, pose, and facial appearance. We are dev...
Xiaoguang Lu, Dirk Colbry, Anil K. Jain
ECCV
1994
Springer
15 years 11 months ago
Face Recognition: the Problem of Compensating for Changes in Illumination Direction
A face recognition system must recognize a face from a novel image despite the variations between images of the same face. A common approach to overcoming image variations because...
Yael Moses, Yael Adini, Shimon Ullman
AVBPA
2003
Springer
582views Biometrics» more  AVBPA 2003»
15 years 2 months ago
Performance Evaluation of Face Recognition Algorithms on the Asian Face Database, KFDB
Human face is one of the most common and useful keys to a person’s identity. Many algorithms have been developed for automatic face recognition. And a number of commercial produc...
Bon-Woo Hwang, Hyeran Byun, Myung-Cheol Roh, Seong...