In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification...
hibiting the characteristics of abstraction, encapsulation, genericity, inheritance, polymorphism, concurrency and exception handling. To address the difficulty of testing the feat...
Peter J. Clarke, Junhua Ding, Djuradj Babich, Bria...
In this article we present an automatic on-line color calibration system that makes extensive use of the spatial relationships between color classes in the color space. First, we i...
Pablo Guerrero, Javier Ruiz-del-Solar, Josué...
As object-oriented class libraries evolve, classes are occasionally deprecated in favor of others with roughly the same functionality. In Java’s standard libraries, for example,...