Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
Designers are often faced with difficult tradeoffs between easing the user's burden by making security decisions for them and offering features that ensure that users can mak...
Mary Ellen Zurko, Charlie Kaufman, Katherine Spanb...
: Automatic content-based analysis and indexing of broadcast news recordings or digitized news archives is becoming an important tool in the framework of many multimedia interactiv...
Yannis S. Avrithis, Nicolas Tsapatsoulis, Stefanos...
: This communication describes a representation of images as a set of edges characterized by their position and orientation. This representation allows the comparison of two images...