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Peteri R.,University of La Rochelle | Fazekas S.,Hungarian Academy of Sciences | Huiskes M.J.,Leiden Institute of Advanced Computer Science LIACS
Pattern Recognition Letters | Year: 2010

We present the DynTex database of high-quality dynamic texture videos. It consists of over 650 sequences of dynamic textures, mostly in everyday surroundings. Additionally, we propose a scheme for the manual annotation of the sequences based on a detailed analysis of the physical processes underlying the dynamic textures. Using this scheme we describe the texture sequences in terms of both visual structure and semantic content. The videos and annotations are made publicly available for scientific research. © 2009 Elsevier B.V. All rights reserved. Source


Karasneh B.,Leiden Institute of Advanced Computer Science LIACS | Chaudron M.R.V.,Chalmers University of Technology
2013 5th International Conference on Computer Science and Information Technology, CSIT 2013 - Proceedings | Year: 2013

Software modeling is an active field of research. In this field, UML is considered the standard for software modeling. Studying UML models is important to understand their effectiveness in software development. Ideally, researchers want to study UML models from documentations from industrial software projects. Given their limited availability, we resort to collecting UML models from internet. A big problem for studies of UML models is that UML models are published mostly in image formats (such as JPEG). These images do not include the model information that is available for UML models when saved in a CASE (Computer Automated Software Engineering) tool format or the XML-based version of the UML interchange format: XMI. Current CASE tools cannot recognize information from images. In this paper we propose the Img2UML tool to solve this problem. The Img2UML extracts UML Class models from images such that these models can be loaded into CASE tools for further study. The Img2UML tool exports UML Class models into XMI files which can be read with the StarUML CASE tool. We performed a validation which shows that Img2UML successfully handles a large class of UML Class images. © 2013 IEEE. Source


Rouzee A.,FOM Institute for Atomic and Molecular Physics | Rouzee A.,Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy | Ghafur O.,FOM Institute for Atomic and Molecular Physics | Vidma K.,Radboud University Nijmegen | And 8 more authors.
Physical Review A - Atomic, Molecular, and Optical Physics | Year: 2011

We present experimental and numerical studies on control of rotational population transfer of NO(J=1/2) molecules to higher rotational states. We are able to transfer 57% of the population to the J=5/2 state and 46% to J=9/2, in good agreement with quantum mechanical simulations. The optimal pulse shapes are composed of pulse sequences with delays corresponding to the beat frequencies of states on the rotational ladder. The evolutionary algorithm is limited by experimental constraints such as volume averaging and the finite laser intensity used, the latter to circumvent ionization. Without these constraints, near-perfect control (>98%) is possible. In addition, we show that downward control, moving molecules from high to low rotational states, is also possible. © 2011 American Physical Society. Source


Back T.,Leiden Institute of Advanced Computer Science LIACS
GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion | Year: 2012

This tutorial gives a basic introduction to evolution strategies, a class of evolutionary algorithms. Key features such as mutation, recombination and selection operators are explained, and specifically the concept of self-adaptation of strategy parameters is introduced. All algorithmic concepts are explained to a level of detail such that an implementation of basic evolution strategies is possible. Some guidelines for utilization as well as some application examples are given. Copyright is held by the author/owner(s). Source


Kokash N.,Leiden Institute of Advanced Computer Science LIACS | De Bono B.,Imperial College London | Kok J.,Leiden Institute of Advanced Computer Science LIACS
IVAPP 2014 - Proceedings of the 5th International Conference on Information Visualization Theory and Applications | Year: 2014

Treemapping is a method for displaying hierarchical data using nested rectangles. Each branch of the tree is given its rectangle, which then is tiled with smaller rectangles representing sub-branches. A node's shape has an area proportional to a specified dimension of the data. To create a treemap, one must define a tiling algorithm, i.e., a way to divide a rectangle into sub-rectangles of specified areas. There are several problems with existing tiling algorithms: (i) they allow tiles to shift when the main window or some of the tiles are resized affecting the user perception of the information; (ii) they do not allow users to place selected elements into desired positions w.r.t. each other. In this paper, we present a method for creating treemaps with customized layouts. The method is based on reusable templates and supports zooming into specific areas of the treemap without affecting its initial layout. We illustrate the use of template-based treemaps to the visualization of biomedical data. Furthermore, we present an algorithm for automated generation of layouts satisfying positional constraints for a particular class of constraints. Source

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