kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
– Better understanding the document logical components is crucial to many applications, e.g., document classification or data integration. As the development of digital libraries...
Generally, applications employing Database Management Systems (DBMS) require that the integrity of the data stored in the database be preserved during normal operation as well as ...
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
Juwei Lu, Kostas N. Plataniotis, Anastasios N. Ven...
Detection of gait characteristics has found considerable interest in field of biomechanics and rehabilitation sciences. In this paper an approach for abnormal gait detection emplo...
Ahmed Mostayed, Mohammad Mynuddin Gani Mazumder, S...