ID: 8181 Title: An algorithm to incorporate leaf transmission and head scatter corrections into step-and-shoot leaf sequences for IMRT Leaf transmission and head scatter are two most important factors that influence IMRT delivery and should be fully taken into account when generating MLC leaf sequences. Significant discrepancies between the desired and delivered intensity profiles could otherwi...

This paper presents the peak-valley (PV) segmentation algorithm for the purpose of producing a reliable method of fatigue time series segmentation and statistical segment-by-segment analysis of fatigue damage. The time series were segmented using a piecewise linear representation (PLR) based segmentation algorithm and consecutively the peak-valley (PV) segmentation algorithm. Statistical analys...

Public transportation has been one of the most important research fields in the two last decades. The purpose of this paper is to create a schedule for public transport fleets such as buses and metro trains with the goal of minimizing the total transfer waiting time. We extend previous research works in the field of transit schedule with considering headways of each route as decision variables....

UNLABELLED Cardiac SPECT images are degraded by photons scattered in the thorax. Accurate correction for scatter is complicated by the nonuniform density and varied sizes of thoraxes and by the additional attenuation and scatter caused by female patients' breasts. Monte Carlo simulation is a general and accurate method for detailed modeling of scatter. Hence, for 99mTc we compared statistical r...

We propose a new approach for assigning audio data in large missing audio parts (from 1 to 16 seconds). Inspired by image inpainting approaches, the proposed method uses the repetitive aspect of music pieces on musical features to recover missing segments via an exemplar-based reconstruction. Tonal features combined with a string matching technique allows locating repeated segments accurately. ...

In this paper, we are concerned with the problem of designing optimal linear hashing files for orthogonal range retrieval. Through the study of performance expressions, we show that optimal basic linear hashing files and optimal recursive linear hashing files for orthogonal range retrieval can be produced, in certain cases, by a greedy method called the MMI (minimum marginal increase) method; a...

Music segmentation is a key issue in music information retrieval (MIR) as it provides an insight into the internal structure of a composition. Structural information about a composition can improve several tasks related to MIR such as searching and browsing large music collections, visualizing musical structure, lyric alignment, and music summarization. The authors of this paper present the MTS...

The Robust Coloring Problem (RCP) is a generalization of the well-known Graph Coloring Problem where we seek for a solution that remains valid when extra edges are added. The RCP is used in scheduling of events with possible last-minute changes and study frequency assignments of the electromagnetic spectrum. This problem has been proved as NP-hard and in instances larger than 30 vertices, meta-...

There are two fundamental problems with the Fisher linear discriminant analysis for face recognition. One is the singularity problem of the within-class scatter matrix due to small training sample size. The other is that it cannot efficiently describe complex nonlinear variations of face images because of its linear property. In this letter, a kernel scatter-difference-based discriminant analys...