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| Author |
Maria Vanrell; Ramon Baldrich; Anna Salvatella; Robert Benavente; Francesc Tous |
Title  |
Induction operators for a computational colour-texture representation |
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| Year |
2004 |
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Computer Vision and Image Understanding, 94(1–3):92–114, ISSN: 1077–3142 (IF: 0.651) |
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CIC |
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CAT @ cat @ VBS2004 |
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453 |
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| Author |
M. Bressan; Jordi Vitria |
| Title |
Independent Feature Selection |
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| Year |
2003 |
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(10): 1312–1317 (IF: 3.823) |
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OR;MV |
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BCNPCL @ bcnpcl @ BrV2003a |
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366 |
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| Author |
Angel Sappa; M.A. Garcia |
| Title |
Incremental Integration of Multiresolution Range Images |
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| Year |
2007 |
Publication |
The imaging science journal. Vol. 55, No. 3 pp. 127–139 |
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ADAS @ adas @ SaG2007d |
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812 |
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| Author |
Lasse Martensson; Ekta Vats; Anders Hast; Alicia Fornes |
| Title |
In Search of the Scribe: Letter Spotting as a Tool for Identifying Scribes in Large Handwritten Text Corpora |
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| Year |
2019 |
Publication |
Journal for Information Technology Studies as a Human Science |
Abbreviated Journal |
HUMAN IT |
| Volume |
14 |
Issue |
2 |
Pages |
95-120 |
| Keywords |
Scribal attribution/ writer identification; digital palaeography; word spotting; mediaeval charters; mediaeval manuscripts |
| Abstract |
In this article, a form of the so-called word spotting-method is used on a large set of handwritten documents in order to identify those that contain script of similar execution. The point of departure for the investigation is the mediaeval Swedish manuscript Cod. Holm. D 3. The main scribe of this manuscript has yet not been identified in other documents. The current attempt aims at localising other documents that display a large degree of similarity in the characteristics of the script, these being possible candidates for being executed by the same hand. For this purpose, the method of word spotting has been employed, focusing on individual letters, and therefore the process is referred to as letter spotting in the article. In this process, a set of ‘g’:s, ‘h’:s and ‘k’:s have been selected as templates, and then a search has been made for close matches among the mediaeval Swedish charters. The search resulted in a number of charters that displayed great similarities with the manuscript D 3. The used letter spotting method thus proofed to be a very efficient sorting tool localising similar script samples. |
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DAG; 600.097; 600.140; 600.121 |
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no |
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Admin @ si @ MVH2019 |
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3234 |
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| Author |
Mikhail Mozerov; V. Kober |
| Title |
Impulse Noise Removal with Gradient Adaptive Neighborhoods |
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| Year |
2006 |
Publication |
Optical Engineering, 45: 67003 |
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ISE |
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no |
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ISE @ ise @ MoK2006 |
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676 |
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| Author |
X. Jing; David Zhang; Zhong Jin |
| Title |
Improvements on the uncorrelated optimal discriminant vectors |
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2003 |
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Pattern Recognition, 36(8): 1921–1923 (IF: 1.611) |
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no |
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Admin @ si @ JZJ2003a |
Serial |
428 |
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| Author |
Hugo Berti; Angel Sappa; Osvaldo Agamennoni |
| Title |
Improved Dynamic Window Approach by Using Lyapunov Stability Criteria |
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2008 |
Publication |
Latin American Applied Research |
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38 |
Issue |
4 |
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289–298 |
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ADAS |
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no |
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ADAS @ adas @ BSA2008 |
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1056 |
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| Author |
X. Jing; David Zhang; Zhong Jin |
| Title |
Improved algorithm and generalized theory |
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2003 |
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Pattern Recognition, 36(11): 2593–2602 (IF: 1.611) |
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no |
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Admin @ si @ JZJ2003b |
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429 |
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| Author |
Javier Varona; Jordi Gonzalez; Ignasi Rius; Juan J. Villanueva |
| Title |
Importance of Detection for Video Surveillance Applications |
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2008 |
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Optical Engineering, vol. 47(8), 087201/1–9 |
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ISE @ ise @ VGR2008 |
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998 |
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| Author |
Aura Hernandez-Sabate; Lluis Albarracin; F. Javier Sanchez |
| Title |
Graph-Based Problem Explorer: A Software Tool to Support Algorithm Design Learning While Solving the Salesperson Problem |
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| Year |
2020 |
Publication |
Mathematics |
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MATH |
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20 |
Issue |
8(9) |
Pages |
1595 |
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STEM education; Project-based learning; Coding; software tool |
| Abstract |
In this article, we present a sequence of activities in the form of a project in order to promote
learning on design and analysis of algorithms. The project is based on the resolution of a real problem, the salesperson problem, and it is theoretically grounded on the fundamentals of mathematical modelling. In order to support the students’ work, a multimedia tool, called Graph-based Problem Explorer (GbPExplorer), has been designed and refined to promote the development of computer literacy in engineering and science university students. This tool incorporates several modules to allow coding different algorithmic techniques solving the salesman problem. Based on an educational design research along five years, we observe that working with GbPExplorer during the project provides students with the possibility of representing the situation to be studied in the form of graphs and analyze them from a computational point of view. |
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September 2020 |
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IAM; ISE |
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no |
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Admin @ si @ |
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3722 |
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| Author |
Josep Llados; Gemma Sanchez |
| Title |
Graph Matching vs. Graph Parsing in Graphics Recognition: A Combined Approach |
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2004 |
Publication |
International Journal of Pattern Recognition and Artificial Intelligence |
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IJPRAI |
| Volume |
18 |
Issue |
3 |
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455–473 |
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DAG; IF: 0.588 |
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no |
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DAG @ dag @ LlS2004 |
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445 |
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| Author |
Matthias S. Keil; Gabriel Cristobal; Heiko Neumann |
| Title |
Gradient representation and perception in the early visual system – A novel account of Mach band formation |
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2006 |
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Vision Research, 46(17): 2659–2674 |
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VR |
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no |
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Admin @ si @ KCN2006 |
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649 |
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| Author |
Angel Sappa; M.A. Garcia |
| Title |
Generating compact representations of static scenes by means of 3D object hierarchies |
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2007 |
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The Visual Computer, 23(2): 143–154 |
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no |
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ADAS @ adas @ SaG2007a |
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798 |
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| Author |
Mariella Dimiccoli |
| Title |
Fundamentals of cone regression |
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2016 |
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Journal of Statistics Surveys |
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10 |
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53-99 |
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cone regression; linear complementarity problems; proximal operators. |
| Abstract |
Cone regression is a particular case of quadratic programming that minimizes a weighted sum of squared residuals under a set of linear inequality constraints. Several important statistical problems such as isotonic, concave regression or ANOVA under partial orderings, just to name a few, can be considered as particular instances of the cone regression problem. Given its relevance in Statistics, this paper aims to address the fundamentals of cone regression from a theoretical and practical point of view. Several formulations of the cone regression problem are considered and, focusing on the particular case of concave regression as an example, several algorithms are analyzed and compared both qualitatively and quantitatively through numerical simulations. Several improvements to enhance numerical stability and bound the computational cost are proposed. For each analyzed algorithm, the pseudo-code and its corresponding code in Matlab are provided. The results from this study demonstrate that the choice of the optimization approach strongly impacts the numerical performances. It is also shown that methods are not currently available to solve efficiently cone regression problems with large dimension (more than many thousands of points). We suggest further research to fill this gap by exploiting and adapting classical multi-scale strategy to compute an approximate solution. |
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1935-7516 |
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MILAB; |
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Admin @ si @Dim2016a |
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2783 |
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| Author |
Fadi Dornaika; J. Ahlberg |
| Title |
Fitting 3D face models for tracking and active appearance model training |
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2006 |
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Image and Vision Computing, 24(9): 1010–1024 |
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Admin @ si @ DoA2006 |
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733 |
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