Abstract: Small sample size (SSS) problem is still a puzzle in classification. For the generally used Maximum Likelihood Classifier (MLC), the small size of training sample with respect to the ...

Abstract: As a nonlinear feature learning method, deep canonical correlation analysis (DCCA) has got a great success in computer vision. Compared with kernel methods, deep neural networks can more ...

Imagine Jo: Everyone in Jo's life recognizes her as an outstanding problem solver. She's the type of person who seems capable of almost anything. Jo excels at intuitive problem-solving. Over her life, ...