We study the problem of finding the best headdriven parsing strategy for Linear ContextFree Rewriting System productions. A headdriven strategy must begin with a specified right...
Pierluigi Crescenzi, Daniel Gildea, Andrea Marino,...
This paper presents a novel facial expression recognition methodology. In order to classify the expression of a test face to one of seven pre-determined facial expression classes, ...
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
We consider the problem of improving the performance of web access by proposing a reconstruction of the internal link structure of a web site in order to match the quality of the ...
John D. Garofalakis, Panagiotis Kappos, Christos M...
We present a new form of least squares (LS), called “hyperLS”, for geometric problems that frequently appear in computer vision applications. Doing rigorous error analysis, we...