This paper focuses on optical music recognition (OMR) system that recognizes the musical symbols on a digitized music sheet and converts them into symbolic music representation. Two main stages are distinguished – pre-processing and symbol analysis. In the pre-processing stage, staves are detected and removed; while in the symbol analysis stage, each musical symbol is recognized and analyzed. T...

In bite mark analyses, the initial photograph is critical for the collection and presentation of evidence. A high-contrast film technique previously used primarily in the graphic arts field has been refined and applied to forensic odontology. The process, called toneline, reduces the interpretational bias of the investigator and yields a transparent overlay with a photographic outline of the bi...

A network router that marks packets to signal congestion should do so fairly. We propose a deenition of fairness, using ideas from eeective band-width theory and economics. Our deenition measures both the level of congestion at a router and the contribution of each ow to that congestion, taking into account the ow's burstiness. We then use large deviations to analyse marking algorithms such as ...

The schizophrenia myth 7 February 2007 Richard P Bentall, Professor of Experimental Clinical Psychology University of Manchester, Oxford Road, Manchester M13 9PL, Peter Kinderman, Carmelo Vázquez Send response to journal: Re: The schizophrenia myth In their editorial defending the ‘schizophrenia’ concept, apparently sparked by a press conference at which one of us participated, Professors Lieb...

Optical Music Recognition (OMR), sometimes also called musical score recognition or simply score recognition, is the process of automatically extracting musical meaning from a printed musical score. Music notation provides a rich description of the composer’s ideas, but ultimately sheet music is open to some degree of interpretation by performers. Performance considerations aside, the advantage...

The model used by the CCG parser of Hockenmaier and Steedman (2002b) would fail to capture the correct bilexical dependencies in a language with freer word order, such as Dutch. This paper argues that probabilistic parsers should therefore model the dependencies in the predicate-argument structure, as in the model of Clark et al. (2002), and defines a generative model for CCG derivations that c...