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Although there are many studies on computer-aided drug design in recent years, determination of proteins for drug candidates is a remarkable area for research. The first major shortcoming of this kind of problems is the feature selection representing the protein structure best, the former one is the computational complexity. We use three datasets with different sizes such as Cherkasov dataset with...
This paper presents a method for object detection based on a cascade of scale and orientation normalized Gaussian derivative classifiers learnt with Adaboost. Normalized Gaussian derivatives provide a small but powerful feature set for rapid learning using Adaboost. Real time detection is made possible by use of a fast integer coefficient algorithm that computes a half-octave Gaussian pyramid with...
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