عنوان مقاله فارسی: استخراج ویژگی افتراقی توسط پیاده سازی عصبی از تحلیل همبستگی متعارف
عنوان مقاله لاتین: Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis
نویسندگان: Cemal Okan Sakar; Olcay Kursun
تعداد صفحات: 12
سال انتشار: 2017
زبان: لاتین
Abstract:
The canonical correlation analysis (CCA) aims at measuring linear relationships between two sets of variables (views) that can be used for feature extraction in classification problems with multiview data. However, the correlated features extracted by the CCA may not be class discriminative, since CCA does not utilize the class labels in its traditional formulation....