PURPOSE The effectiveness of IMPT may be significantly diminished by range and patient setup uncertainties. The purpose of this presentation is to evaluate the ability of robust optimization methods to desensitize H&N IMPT plans to uncertainties and their impact on plan optimality. METHODS We use a robust optimization method, in which the objective function value for a given iteration is comp...

In order for a mobile robot to accomplish a non-trivial task, the task must be described in terms of primitive actions of the robot's actuators. Our contention is that the transformation from the high level description of the task to the primitive actions should be performed primarily at execution time, when knowledge about the environment can be obtained through sensors. Our theory is based on...

One of the most important parameters in evaluating a watermarking algorithm is its capacity. Generally, watermarking capacity is expressed by bits per pixel (bpp) unit measure. But this measure does not show what the side effects would be on image quality, watermark robustness and capacity. In this paper we propose a three dimensional measure named Capacity surface which shows the effects of ca...

This paper describes an original approach which jointly addresses two fundamental issues of video partitioning which represent the early important stage of any content-based video indexing system. These two issues are the detection of shot changes, and the labeling of the shot connguration related to the camera movement in terms of static shot, panning, traveling, zooming,... They are both deri...

PURPOSE The objective of this study was to use a liquid water female body phantom to investigate the feasibility of using helical Tomotherapy's exit detector data sinograms (EDDS) for quality assurance of Tomotherapy treatments. METHODS Delivery Verification software (DV-Tool), described by Kapatoes et al., uses EDDS and daily mega-voltage-CT images for delivery sinogram reconstruction and su...

This study presents a method of scheming colour image by using fuzzy watermarking through Discrete Wavelet Transform (DWT) and histogram stretching methods. This study aims further at achieving and developing robustness, imperceptibility and available capacity of cover image for the watermarked image, which can withstand against various attacks. Digital watermarking techniques are used to prote...

Federated learning (FL) emerges as a popular distributed schema that learns model from set of participating users without sharing raw data. One major challenge FL comes with heterogeneous users, who may have distributionally different (or non-iid) data and varying computation resources. As federated would use the for prediction, they often demand trained to be robust against malicious attackers...

The robustness of complex networks was one the first phenomena studied after inception network science. However, many contemporary presentations this theory do not go beyond original papers. Here we revisit topic with aim providing a deep but didactic introduction. We pay attention to some complications in computation giant component sizes that are commonly ignored. Following an intuitive proce...

In every corner of machine learning and statistics, there is a need for estimators that work not just in an idealized model, but even when their assumptions are violated. Unfortunately, high dimensions, being provably robust efficiently computable often at odds with each other. We give the first efficient algorithm estimating parameters high-dimensional Gaussian able to tolerate constant fracti...