We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
In this paper, we describe assessment in seminars where high student activity is encouraged. The aim of our work has been to design assessment events that result in deep learning ...