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检索条件"机构=Dept. of Numerical Analysis and Computing Science"

共 112 条记录，以下是71-80 订阅

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RBM-based silhouette encoding for human action modelling

RBM-based silhouette encoding for human action modelling

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2010 20th International Conference on Pattern Recognition, ICPR 2010

作者： Marín-Jiménez, Manuel J. De La Blanca, Nicolás Përez Mendoza, M. Ángeles Dept. of Computer Science and Numerical Analysis University of Córdoba Córdoba Spain Dept. of Computer Science and Artificial Intelligence University of Granada Granada Spain

ISBN: (纸本)9780769541099

In this paper we evaluate the use of Restricted Bolzmann Machines (RBM) in the context of learning and recognizing human actions. The features used as basis are binary silhouettes of persons. We test the proposed approach on two datasets of human actions where binary silhouettes are available: ViHASi (synthetic data) and Weizmann (real data). In addition, on Weizmann dataset, we combine features based on optical flow with the associated binary silhouettes. The results show that thanks to the use of RBM-based models, very informative and shorter feature vectors can be obtained for the classification tasks, improving the classification performance. © 2010 IEEE.

关键词： Signal encoding

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An automatic programming ACO-based algorithm for classification rule mining 8th

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8th International Conference on Practical Applications of Agents and Multiagent Systems, PAAMS 2010

作者： Olmo, Juan Luis Luna, José Mara Romero, José Raúl Ventura, Sebastián Dept. of Computer Science and Numerical Analysis University of Cordoba Albert Einstein building Rabanales Campus Cordoba14071 Spain

ISBN: (纸本)9783642124327

In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a context-free grammar that properly guides the search process of valid rules. Furthermore, its most important characteristics are also discussed, such as the use of two different heuristic measures for every transition rule, as well as the way it evaluates the mined rules. These features enhance the final rule compilation from the output classifier. Finally, the experiments over 17 diverse data sets prove that the accuracy values obtained by GBAP are pretty competitive and even better than those resulting from the top Ant-Miner algorithm. © Springer-Verlag Berlin Heidelberg 2010.

关键词： Context free grammars

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Using co-evolved RTS opponents to teach spatial tactics

Using co-evolved RTS opponents to teach spatial tactics

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2010 IEEE Conference on Computational Intelligence and Games, CIG2010

作者： Smith, Greg Avery, Phillipa Houmanfar, Ramona Louis, Sushil Behavior Analysis Program Dept. of Psychology United States Evolutionary Computing Systems Laboratory Dept. of Computer Science and Engineering University of Nevada Reno NE United States

ISBN: (纸本)9781424462971

This paper describes a co-evolutionary algorithm for generating simple spatially oriented tactics and considers whether students can learn better by playing against co-evolved opponents or by playing against an expert system or other similar hard-coded opponent. Although a number of artificially intelligent tutoring and e-learning systems exist, our work looks at using co-evolution to generate competent opponents for human students to learn from. This paper describes and discusses early results on using computationally intelligent opponents for tactical training of human students. Initial results indicate that the learning environment for human players, measured by game difficulty and transfer of training, is comparable across co-evolved and hard-coded computer opponents. © 2010 IEEE.

关键词： Students

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An intruder detection approach based on infrequent rating pattern mining

An intruder detection approach based on infrequent rating pa...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： José María Luna Aurora Ramírez José Raúl Romero Sebastián Ventura Dept. of Computer Science and Numerical Analysis University of Córdoba Córdoba Spain

This work presents a novel proposal for incremental intruder detection in collaborative recommender systems. We explore the use of rare association rule mining to reveal the existence of a suspected raid of attackers that would alter the normal behaviour of a rating-based system. In this position paper we have extended our previous G3PARM algorithm, which has already proven to serve as a solid method for extracting frequent association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming), which provides expressiveness and flexibility enough to adapt and apply the base context-free grammar to each specific problem or domain. We fully outline, moreover, the complete exploration and detection model, which includes some further post-analysis steps. Finally, as a proof of concept, we validate the scalability, efficiency and accuracy of our proposal showing the results obtained when different malicious intruders want to attack an on line recommender system.

关键词： Association rules Proposals Grammar Intelligent systems Recommender systems Collaboration

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RBM-based Silhouette Encoding for Human Action Modelling

RBM-based Silhouette Encoding for Human Action Modelling

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International Conference on Pattern Recognition

作者： Manuel J. Marín-Jiménez Nicolas Perez de la Blanca M. Angeles Mendoza Dept. of Computer Science and Numerical Analysis University of Córdoba Córdoba Spain Dept. of Computer Science and Artificial Intelligence University of Granada Granada Spain

关键词： Humans Pixel Cameras Data models Encoding Databases Computational modeling

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P system model optimisation by means of evolutionary based search algorithms 10

P system model optimisation by means of evolutionary based s...

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12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010

作者： García-Martínez, Carlos Lima, Claudio Twycross, Jamie Krasnogor, Natalio Dept. Computing and Numerical Analysis University of Córdoba 14071 Córdoba Spain Centre for Plant Integrative Biology University of Nottingham Sutton Bonington Campus Nottingham LE12 5RD United Kingdom ASAP Research Group School of Computer Science Jubilee Campus Nottingham NG8 1BB United States

ISBN: (纸本)9781450300728

Executable Biology, also called Algorithmic Systems Biology, uses rigorous concepts from computer science and mathematics to build computational models of biological entities. P systems are emerging as one of the key modelling frameworks within Executable Biology. In this paper, we address the continuous backward problem: given a P system model structure and a target phenotype (i.e. an intended biological behaviour), one is tasked with finding the (near) optimal parameters for the model that would make the P system model produce the target behaviour as closely as possible. We test several real-valued parameter optimisation algorithms on this problem. More specifically, using four different test cases of increasing complexity, we perform experiments with four evolutionary algorithms, and one variable neighbourhood search method combining three other evolutionary algorithms. The results show that, when there are few parameters to optimise, a genetic and two differential evolution based algorithms are robust optimisera attaining the best results. However, when the number of parameters increases, the variable neighbourhood search approach performs better. Copyright 2010 ACM.

关键词： Biology

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A Continuous Variable Neighbourhood Search Based on Specialised EAs: Application to the Noiseless BBO-Benchmark 2009 09

A Continuous Variable Neighbourhood Search Based on Speciali...

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11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009

作者： García-Martínez, Carlos Lozano, Manuel Dept. of Computing and Numerical Analysis University of Córdoba Córdoba14071 Spain University of Granada Granada18071 Spain

ISBN: (纸本)9781605583259

Variable Neighbourhood Search is a metaheuristic combining three components: generation, improvement, and shaking components. In this paper, we design a continuous Variable Neighbourhood Search algorithm based on three specialised Evolutionary Algorithms, which play the role of each aforementioned component: 1) an EA specialised in generating a good starting point as generation component, 2) an EA specialised in exploiting local information as improvement component, 3) and another EA specialised in providing local diversity as shaking component. Experiments are carried out on the noiseless Black-Box Optimisation Benchmark 2009 testbed. © 2009 ACM.

关键词： Benchmarking

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Immune network based ensembles 14

Immune network based ensembles

引用

14th European Symposium on Artificial Neural Networks, ESANN 2006

作者： García-Pedrajas, Nicolás Fyfe, Colin Dept. of Computing and Numerical Analysis University of Córdoba Spain Dept. of Computing University of Paisley United Kingdom

ISBN: (纸本)2930307064

This paper presents a new method for constructing ensembles of classifiers based on Immune Network Theory, one of the most interesting paradigms within the field of Artificial Immune Systems. Ensembles of classifiers are a very interesting alternative to single classifiers when facing difficult problems. In general, ensembles are able to achieve better performance in terms of learning and generalization error. We construct an Immune Network that constitutes an ensemble of classifiers. Using a neural network as base classifier we have compared the performance of this ensemble with five standard methods of ensemble construction. This comparison is made using 35 real-world classification problems from the UCI Machine Learning Repository. The results show a general advantage of the proposed model over the standard methods. © 2006 *** publication. All rights reserved.

关键词： Neural networks

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Action context and target context representations: A case study on collaborative design learning

Action context and target context representations: A case st...

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International Conference on Computer Supported Collaborative Learning

作者： Artman, Henrik Ramberg, Robert Sundholm, Hillevi Cerratto-Pargman, Teresa Dept. for Numerical Analysis and Computer Science Royal Institute of Technology Sweden Dept. of Computer- and Systems Sciences Stockholm University Sweden

ISBN: (纸本)0805857826

This paper focuses on the concept of representations produced in the context of collaborative design. More specifically, on the interplay between collaborative creation of sketches (design proposals), and argumentation and negotiation processes taking place in the design activity. The question raised in this paper is how sketches produced during a design session reflect and mediate dialogues and argumentation in the design activity and how the sketches feed into an envisioned use context or vice versa. The concepts of action context and target context representations are introduced and used to illustrate shifts of focus during a design session. We have studied a group of students working on a design task in an interactive space for two weeks. The purpose of the study was to investigate how an environment meant to support collaborative work and learning support collaborative and creative learning of interaction design. The results indicate that students attending a course on interaction design did not pay enough attention to target representations. Furthermore the results suggest that "action context representations" to a large extent occupy student activities as a result of either complex technology or as a result of the students thrust to do something instrumental. We suggest that pedagogical programs for collaborative learning of design may relieve some of the mapping, or interplay, of design proposals and the target context representation.

关键词： design communication interactive spaces learning representation

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Topology-based simplification for feature extraction from 3D scalar fields

Topology-based simplification for feature extraction from 3D...

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VIS 05: IEEE Visualization 2005, Proceedings

作者： Gyulassy, Attila Natarajan, Vijay Pascucci, Valerio Bremer, Peer-Timo Hamann, Bernd Institute for Data Analysis and Visualization Dept. of Computer Science University of California Davis Center for Applied Scientific Computing Lawrence Livermore National Laboratory Dept. of Computer Science University of Illinois Urbana Champaign

ISBN: (纸本)0780394623

In this paper, we present a topological approach for simplifying continuous functions defined on volumetric domains. We introduce two atomic operations that remove pairs of critical points of the function and design a combinatorial algorithm that simplifies the Morse-Smale complex by repeated application of these operations. The Morse-Smale complex is a topological data structure that provides a compact representation of gradient flow between critical points of a function. Critical points paired by the Morse-Smale complex identify topological features and their importance. The simplification procedure leaves important critical points untouched, and is therefore useful for extracting desirable features. We also present a visualization of the simplified topology. © 2005 IEEE.

关键词： Feature extraction

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