This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
The KSU Willie entry in the Semantic Vision Challenge will use a variety of classifiers, some standard classifiers and some newly developed classifiers, to learn the classificatio...
David Gustafson, Aaron Chavez, Michael Marlen, And...
We present a new noise model for color channels for statistical change detection. Based on this noise modeling, we estimate the distribution of Euclidean distances between the pix...
The overwhelming amount of information on the web makes it critical for users to quickly and accurately evaluate the relevance of content. Here we tested whether pupil size can be...
Flavio T. P. Oliveira, Anne Aula, Daniel M. Russel...