This paper presents a comparative study and survey of model-based object-recognition
algorithms for robot vision. The goal of these algorithms is to recognize the identity, position …

INTRODUCTION U NDERSTANDING the nature of the primary events leading to ovarian
androgen production is one of the major goals of reproductive research. The physiological …

We conducted an on-line search and manual searches for 1966 through 1992 to determine
the incidence, diagnosis, risk factors, and treatment of postoperative delirium. Of the 374 …

We describe an open-source toolkit for statistical machine translation whose novel
contributions are (a) support for linguistically motivated factors,(b) confusion network …

Artificial intelligence (AI) has undergone a renaissance recently, making major progress in
key domains such as vision, language, control, and decision-making. This has been due, in …

Language modelling provides a step towards intelligent communication systems by
harnessing large repositories of written human knowledge to better predict and understand …

State-of-the-art named entity recognition systems rely heavily on hand-crafted features and
domain-specific knowledge in order to learn effectively from the small, supervised training …

We propose a hierarchical attention network for document classification. Our model has two
distinctive characteristics:(i) it has a hierarchical structure that mirrors the hierarchical …

Three standard approaches to automatic texture classification make use of features based
on the Fourier power spectrum, on second-order gray level statistics, and on first-order …

A novel scene reconstruction technique is presented, different from previous approaches in
its ability to cope with large changes in visibility and its modeling of intrinsic scene color and …