—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
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...
We present a novel technique that speeds up state-space exploration (SSE) for evolving programs with dynamically allocated data. SSE is the essence of explicit-state model checkin...
Steven Lauterburg, Ahmed Sobeih, Darko Marinov, Ma...
Synonymy – different words with the same meaning – is a major problem for text mining systems. We have proposed asymmetric word similarities as a possible solution to this prob...
This paper presents a quantitative evaluation of the portability to the stock market domain of the revision rule hierarchy used by the system STREAKto incrementally generate newsw...