Výsledky vyhľadávania - Algorithmics. Computability. Computer arithmetics

An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints Autor Deb, Kalyanmoy, Jain, Himanshu

“…Having developed multiobjective optimization algorithms using evolutionary optimization methods and demonstrated their niche on various practical problems…”
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Fast Feature Pyramids for Object Detection Autor Dollar, Piotr, Appel, Ron, Belongie, Serge, Perona, Pietro

“…Multi-resolution image features may be approximated via extrapolation from nearby scales, rather than being computed explicitly. This fundamental insight…”
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An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach Autor Jain, Himanshu, Deb, Kalyanmoy

“…In the precursor paper, a many-objective optimization method (NSGA-III), based on the NSGA-II framework, was suggested and applied to a number of unconstrained…”
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Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization Autor Omidvar, Mohammad Nabi, Li, Xiaodong, Mei, Yi, Yao, Xin

“…Cooperative co-evolution has been introduced into evolutionary algorithms with the aim of solving increasingly complex optimization problems through a…”
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BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network Autor Navigli, Roberto, Ponzetto, Simone Paolo

“…We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. Key to our approach is the…”
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Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning Autor Modares, Hamidreza, Lewis, Frank L.

“…In this paper, a new formulation for the optimal tracking control problem (OTCP) of continuous-time nonlinear systems is presented. This formulation extends…”
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USAC: A Universal Framework for Random Sample Consensus Autor Raguram, R., Chum, O., Pollefeys, M., Matas, J., Frahm, J.

“…A computational problem that arises frequently in computer vision is that of estimating the parameters of a model from data that have been contaminated by noise and outliers…”
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Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization Autor Li, Miqing, Yang, Shengxiang, Liu, Xiaohui

“…It is commonly accepted that Pareto-based evolutionary multiobjective optimization (EMO) algorithms encounter difficulties in dealing with many-objective…”
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Event-triggered communication and H∞ control co-design for networked control systems Autor Peng, Chen, Yang, Tai Cheng

“…This paper studies an event-triggered communication scheme and an H∞ control co-design method for networked control systems (NCSs) with communication delay and…”
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A swarm optimization algorithm inspired in the behavior of the social-spider Autor Cuevas, Erik, Cienfuegos, Miguel, Zaldívar, Daniel, Pérez-Cisneros, Marco

“…Swarm intelligence is a research field that models the collective behavior in swarms of insects or animals. Several algorithms arising from such models have…”
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Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems Autor Liu, Hai-Lin, Gu, Fangqing, Zhang, Qingfu

“…This letter suggests an approach for decomposing a multiobjective optimization problem (MOP) into a set of simple multiobjective optimization subproblems…”
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Distributed event-triggered control of multi-agent systems with combinational measurements Autor Fan, Yuan, Feng, Gang, Wang, Yong, Song, Cheng

“…This paper studies the distributed rendezvous problem of multi-agent systems with novel event-triggered controllers. We have proposed a combinational…”
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Support Vector Machine Classifier With Pinball Loss Autor Xiaolin Huang, Lei Shi, Suykens, Johan A. K.

“…Traditionally, the hinge loss is used to construct support vector machine (SVM) classifiers. The hinge loss is related to the shortest distance between sets…”
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Algorithm runtime prediction: Methods & evaluation Autor Hutter, Frank, Xu, Lin, Hoos, Holger H., Leyton-Brown, Kevin

“…Perhaps surprisingly, it is possible to predict how long an algorithm will take to run on a previously unseen input, using machine learning techniques to build…”
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A comparative study of efficient initialization methods for the k-means clustering algorithm Autor Celebi, M. Emre, Kingravi, Hassan A., Vela, Patricio A.

“…► K-means is the most widely used partitional clustering algorithm. ► k-means is highly sensitive to the selection of the initial centers. ► We present an…”
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Robust Object Tracking with Online Multiple Instance Learning Autor Babenko, B., Ming-Hsuan Yang, Belongie, S.

“…In this paper, we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of…”
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Robust Text Detection in Natural Scene Images Autor Yin, Xu-Cheng, Yin, Xuwang, Huang, Kaizhu, Hao, Hong-Wei

“…Text detection in natural scene images is an important prerequisite for many content-based image analysis tasks. In this paper, we propose an accurate and…”
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Classifier chains for multi-label classification Autor Read, Jesse, Pfahringer, Bernhard, Holmes, Geoff, Frank, Eibe

“…The widely known binary relevance method for multi-label classification, which considers each label as an independent binary problem, has often been overlooked…”
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Orthogonal Learning Particle Swarm Optimization Autor Zhan, Zhi-Hui, Zhang, Jun, Li, Yun, Shi, Yu-Hui

“…Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best…”
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Cuckoo search: recent advances and applications Autor Yang, Xin-She, Deb, Suash

“…Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb in 2009, and the same has been found to be efficient in solving global optimization…”
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