We present a new method for compact representation of large image datasets. Our method is based on treating small patches from an image as matrices as opposed to the conventional ...
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
In this paper, we describe our Computer Science Program Assessment (COMPASS) project. COMPASS uses open-source software tools to support the development and analysis of course por...
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Interior tomography is an emerging area, which is for theoretically exact reconstruction of an internal region of interest (ROI) only from local projection data directly associate...