This paper presents an automatic orientation detection and categorization technique that is capable of detecting the orientation of multilingual documents with arbitrary skew and ...
We present a general framework for image discrimination based on identifying small, localized differences between images. Our novel matching scheme is based on an alternate inform...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson...
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
We treat the problem of edge detection as one of statistical inference. Local edge cues, implemented by filters, provide information about the likely positions of edges which can ...
Scott Konishi, Alan L. Yuille, James M. Coughlan, ...
Background: Research involving expressed sequence tags (ESTs) is intricately coupled to the existence of large, well-annotated sequence repositories. Comparatively complete and sa...
R. Henrik Nilsson, Balaji Rajashekar, Karl-Henrik ...