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Search Results: 1 - 10 of 51735 matches for " Luis Roberto Sibaja Quesada "
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EL ROL DE LOS PADRES EN LA FORMACIóN FUTBOLíSTICA DEL NI O
Luis Roberto Sibaja Quesada
Pensar en Movimiento : Revista de Ciencias del Ejercicio y la Salud , 2003,
Abstract: La vivencia de un ni o al involucrarse en cualquier deporte es condicionada por la mentalidad de sus padres. Frecuentemente, éstos transmiten a sus hijos sus propias motivaciones, frustraciones y sue os truncados. Indudablemente, los padres que no quieren da ar la experiencia deportiva de su hijo y en consecuencia el desarrollo de su personalidad, deben considerar cuidadosamente el sentido que ellos, atribuyen al deporte, su forma de visualizarlo y la manera en que intentan vivir la experiencia deportiva de su ni o. En este período de la vida del ni o es importante darle la posibilidad de realizar sus propias escogencias relacionadas con sus deseos de practicar algún deporte, la función de los padres es apoyarlo y orientarlo con relación a la preferencia del infante, nunca convertirse en una figura presionante que influya tendenciosamente en lo que el ni o quiere hacer con su tiempo recreacional o deportivo.
Using Barriers to Reduce the Sensitivity to Edge Miscalculations of Casting-Based Object Projection Feature Estimation
Luis Quesada
Computer Science , 2012,
Abstract: 3D motion tracking is a critical task in many computer vision applications. Unsupervised markerless 3D motion tracking systems determine the most relevant object in the screen and then track it by continuously estimating its projection features (center and area) from the edge image and a point inside the relevant object projection (namely, inner point), until the tracking fails. Existing reliable object projection feature estimation techniques are based on ray-casting or grid-filling from the inner point. These techniques assume the edge image to be accurate. However, in real case scenarios, edge miscalculations may arise from low contrast between the target object and its surroundings or motion blur caused by low frame rates or fast moving target objects. In this paper, we propose a barrier extension to casting-based techniques that mitigates the effect of edge miscalculations.
Community-Quality-Based Player Ranking in Collaborative Games with no Explicit Objectives
Luis Quesada,Pablo J. Villacorta
Computer Science , 2012,
Abstract: Player ranking can be used to determine the quality of the contributions of a player to a collaborative community. However, collaborative games with no explicit objectives do not support player ranking, as there is no metric to measure the quality of player contributions. An implicit objective of such communities is not being disruptive towards other players. In this paper, we propose a parameterizable approach for real-time player ranking in collaborative games with no explicit objectives. Our method computes a ranking by applying a simple heuristic community quality function. We also demonstrate the capabilities of our approach by applying several parameterizations of it to a case study and comparing the obtained results.
Medicina Costarricense: algunos problemas y perspectivas. Manifiesto de la Academia Nacional de Medicina de Costa Rica
Orlando Quesada Vargas,Roberto Pacheco Coronado
Revista Costarricense de Cardiología , 2004,
Abstract:
A general numerical solution of dispersion relations for the nuclear optical model
Roberto Capote,Alberto Molina,Jose Manuel Quesada
Physics , 2001,
Abstract: A general numerical solution of the dispersion integral relation between the real and the imaginary parts of the nuclear optical potential is presented. Fast convergence is achieved by means of the Gauss-Legendre integration method, which offers accuracy, easiness of implementation and generality for dispersive optical model calculations. The use of this numerical integration method in the optical-model parameter search codes allows for a fast and accurate dispersive analysis. PACS number(s): 11.55.Fv, 24.10.Ht, 02.60.Jh
Treating Insomnia, Amnesia, and Acalculia in Regular Expression Matching
Luis Quesada,Fernando Berzal,Francisco J. Cortijo
Computer Science , 2011,
Abstract: Regular expressions provide a flexible means for matching strings and they are often used in data-intensive applications. They are formally equivalent to either deterministic finite automata (DFAs) or nondeterministic finite automata (NFAs). Both DFAs and NFAs are affected by two problems known as amnesia and acalculia, and DFAs are also affected by a problem known as insomnia. Existing techniques require an automata conversion and compaction step that prevents the use of existing automaton databases and hinders the maintenance of the resulting compact automata. In this paper, we propose Parallel Finite State Machines (PFSMs), which are able to run any DFA- or NFA-like state machines without a previous conversion or compaction step. PFSMs report, online, all the matches found within an input string and they solve the three aforementioned problems. Parallel Finite State Machines require quadratic time and linear memory and they are distributable. Parallel Finite State Machines make very fast distributed regular expression matching in data-intensive applications feasible.
The Object Projection Feature Estimation Problem in Unsupervised Markerless 3D Motion Tracking
Luis Quesada,Alejandro J. León
Computer Science , 2011,
Abstract: 3D motion tracking is a critical task in many computer vision applications. Existing 3D motion tracking techniques require either a great amount of knowledge on the target object or specific hardware. These requirements discourage the wide spread of commercial applications based on 3D motion tracking. 3D motion tracking systems that require no knowledge on the target object and run on a single low-budget camera require estimations of the object projection features (namely, area and position). In this paper, we define the object projection feature estimation problem and we present a novel 3D motion tracking system that needs no knowledge on the target object and that only requires a single low-budget camera, as installed in most computers and smartphones. Our system estimates, in real time, the three-dimensional position of a non-modeled unmarked object that may be non-rigid, non-convex, partially occluded, self occluded, or motion blurred, given that it is opaque, evenly colored, and enough contrasting with the background in each frame. Our system is also able to determine the most relevant object to track in the screen. Our 3D motion tracking system does not impose hard constraints, therefore it allows a market-wide implementation of applications that use 3D motion tracking.
Fence - An Efficient Parser with Ambiguity Support for Model-Driven Language Specification
Luis Quesada,Fernando Berzal,Francisco J. Cortijo
Computer Science , 2011,
Abstract: Model-based language specification has applications in the implementation of language processors, the design of domain-specific languages, model-driven software development, data integration, text mining, natural language processing, and corpus-based induction of models. Model-based language specification decouples language design from language processing and, unlike traditional grammar-driven approaches, which constrain language designers to specific kinds of grammars, it needs general parser generators able to deal with ambiguities. In this paper, we propose Fence, an efficient bottom-up parsing algorithm with lexical and syntactic ambiguity support that enables the use of model-based language specification in practice.
A Constraint-Satisfaction Parser for Context-Free Grammars
Luis Quesada,Fernando Berzal,Francisco J. Cortijo
Computer Science , 2011,
Abstract: Traditional language processing tools constrain language designers to specific kinds of grammars. In contrast, model-based language specification decouples language design from language processing. As a consequence, model-based language specification tools need general parsers able to parse unrestricted context-free grammars. As languages specified following this approach may be ambiguous, parsers must deal with ambiguities. Model-based language specification also allows the definition of associativity, precedence, and custom constraints. Therefore parsers generated by model-driven language specification tools need to enforce constraints. In this paper, we propose Fence, an efficient bottom-up chart parser with lexical and syntactic ambiguity support that allows the specification of constraints and, therefore, enables the use of model-based language specification in practice.
Filling-Based Techniques Applied to Object Projection Feature Estimation
Luis Quesada,Alejandro J. León
Computer Science , 2012,
Abstract: 3D motion tracking is a critical task in many computer vision applications. Unsupervised markerless 3D motion tracking systems determine the most relevant object in the screen and then track it by continuously estimating its projection features (center and area) from the edge image and a point inside the relevant object projection (namely, inner point), until the tracking fails. Existing object projection feature estimation techniques are based on ray-casting from the inner point. These techniques present three main drawbacks: when the inner point is surrounded by edges, rays may not reach other relevant areas; as a consequence of that issue, the estimated features may greatly vary depending on the position of the inner point relative to the object projection; and finally, increasing the number of rays being casted and the ray-casting iterations (which would make the results more accurate and stable) increases the processing time to the point the tracking cannot be performed on the fly. In this paper, we analyze an intuitive filling-based object projection feature estimation technique that solves the aforementioned problems but is too sensitive to edge miscalculations. Then, we propose a less computing-intensive modification to that technique that would not be affected by the existing techniques issues and would be no more sensitive to edge miscalculations than ray-casting-based techniques.
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