Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
It is known that the brain network has small-world and scalefree topology, but the network structures drastically change depending on how to threshold a connectivity matrix. The e...
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Bung-Nyu...
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
In a large-scale language detection task, performance variation found between different component systems and different target languages has an adverse effect to the pooled error ...
Raymond W. M. Ng, Cheung-Chi Leung, Tan Lee, Bin M...
—The Internet has significantly evolved in the number and variety of applications. Network operators need mechanisms to constantly monitor and study these applications. Given mo...
Myungjin Lee, Mohammad Y. Hajjat, Ramana Rao Kompe...