Diurnal auroral occurrence statistics obtained via machine vision

Diurnal auroral occurrence statistics obtained via machine vision

Modern ground-based digital auroral All-Sky Imager (ASI) networks capture millions of images annually. Machine vision techniques are widely utilised in the retrieval of images from large data bases. Clearly, they can play an important scientific role in dealing with data from auroral ASI networks, facilitating both efficient searches and statistical studies. Furthermore, the development of auto...

Occurrence Based Statistics in Machine Translation

As MT approaches demand longer context for better translation quality, the limitations of current language modeling techniques become explicit. The computational inability to model the likelihood of longer ngrams and the likelihood of their usage in probabilistic manner, have prevented us from exploring long ngrams in MT. In this paper, we propose and investigate a new set of features called oc...

Learning surface molecular structures via machine vision

Recent advances in high resolution scanning transmission electron and scanning probe microscopies have allowed researchers to perform measurements of materials structural parameters and functional properties in real space with a picometre precision. In many technologically relevant atomic and/or molecular systems, however, the information of interest is distributed spatially in a non-uniform ma...

Using Quantitative Statistics for the Construction of Machine Vision Systems

Translation Model Pruning via Usage Statistics for Statistical Machine Translation

We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system to a large amount of text and calculates usage statistics for the phrase pairs. Using these statistics the relevance of each phrase pair can be estimated. The approach is tested against a strong baseline based on previ...