We present a typed calculus IL ("intermediate language") which supports the embedding of ML-like (strict, eager) and Haskell-like (non-strict, lazy) languages, without fa...
Ben Rudiak-Gould, Alan Mycroft, Simon L. Peyton Jo...
This paper presents a method to process axial monocular image sequences for mobile robot obstacle detection. We do not aim to achieve a complete scene reconstruction, but only to ...
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...