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检索条件"机构=Pattern Analysis and Machine Intelligence Laboratory Systems Design Engineering"
79 条 记 录,以下是31-40 订阅
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Weighted combination of neural network ensembles
Weighted combination of neural network ensembles
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International Joint Conference on Neural Networks (IJCNN)
作者: N.M. Wanas M.S. Kamel Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada
There exist numerous schemes and methods to determine the output of an ensemble of classifiers. The most common approach being the majority vote. Furthermore, we might expect that an improvement can be achieved if the... 详细信息
来源: 评论
Fuzzy reinforcement learning for embedded soccer agents in a multi-agent context
Fuzzy reinforcement learning for embedded soccer agents in a...
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作者: Tehrani, A.M. Kamel, M.S. Khamis, A.M. Pattern Analysis and Machine Intelligence Lab. Electrical and Computer Engineering Department University of Waterloo Waterloo Ont. N2L 3G1 Canada Mechanical Engineering Department University of Waterloo Canada Department of Cooperative Intelligent Systems Canada Pattern Analysis and Machine Intelligence Laboratory University of Waterloo Canada Department of Systems Engineering and Automation Carlos III University of Madrid Spain
The work presented in this paper aims at combining fuzzy function approximation and reinforcement learning in order to create robotic soccer agents that are able to coordinate their behaviours locally and socially whi... 详细信息
来源: 评论
An optimized two-step camera calibration method
An optimized two-step camera calibration method
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IEEE International Conference on Robotics and Automation (ICRA)
作者: H. Bacakoglu M. Kamel Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada
An optimized two-step camera calibration algorithm is developed. The proposed method starts with the well known linear calibration which approximates the transformation as a 3/spl times/4 matrix. Based on the results ... 详细信息
来源: 评论
An information theoretic image-quality measure
An information theoretic image-quality measure
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Canadian Conference on Electrical and Computer engineering (CCECE)
作者: O. Elbadawy M.R. El-Sakka M.S. Kamel Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada
Lossy image compression techniques aim at encoding images with a minimal representation. During this process, some visually useful information may be lost. Assessing the information loss in decompressed images is not ... 详细信息
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Image registration using virtual circles and edge direction
Image registration using virtual circles and edge direction
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作者: Alhichri, Haikel Salem Kamel, Mohamed Pattern Analysis and Machine Intelligence Lab. Systems Design Engineering University of Waterloo Waterloo Ont. N2L 3G1 Canada
In this paper, we combine a novel set of image features called virtual circles with edge direction, to provide an efficient alignment algorithm for image registration under similarity transformations. Virtual circles ... 详细信息
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Simulated Annealing with Opposite Neighbors
Simulated Annealing with Opposite Neighbors
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IEEE Symposium on Foundations of Computational intelligence, FOCI
作者: Mario Ventresca Hamid R. Tizhoosh Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department University of Waterloo Waterloo ONT Canada
This paper presents an improvement to the vanilla version of the simulated annealing algorithm by using opposite neighbors. This new technique, is based on the recently proposed idea of opposition based learning, as s... 详细信息
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Numerical condition of feedforward networks with opposite transfer functions
Numerical condition of feedforward networks with opposite tr...
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International Joint Conference on Neural Networks (IJCNN)
作者: Mario Ventresca Hamid Reza Tizhoosh Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department University of Waterloo Waterloo ONT Canada
Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfer functions on the conditioning of feedforw... 详细信息
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EVOL: ensembles voting online
EVOL: ensembles voting online
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International Joint Conference on Neural Networks (IJCNN)
作者: G. Auda M. Kamel Pattern Analysis And Machine Intelligence Lab Systems Design Engineering Department University of Waterloo Canada
Cooperation by voting is one of the popular modular neural network decision-making strategies. Ensemble classifiers are multiple identical modules which use voting for post-learning classification. This paper suggests... 详细信息
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A connectionist model for learning robotic grasps using reinforcement learning
A connectionist model for learning robotic grasps using rein...
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International Conference on Neural Networks
作者: M.A. Moussa M.S. Kamel Pattern Analysis and Machine Intelligence LaboratoryDepartment of Systems Design Engineering University of Waterloo ONT Canada
We present a connectionist model for learning robotic grasps. These grasps are represented as generic grasping functions. Our approach is to learn these functions by experimentation with the environment. Grasping rule... 详细信息
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Improving the Convergence of Backpropagation by Opposite Transfer Functions
Improving the Convergence of Backpropagation by Opposite Tra...
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International Joint Conference on Neural Networks (IJCNN)
作者: M. Ventresca H.R. Tizhoosh Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department University of Waterloo Waterloo ONT Canada
The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately learn the task is considerable. Many exi... 详细信息
来源: 评论