Neuroscientists believe that human beings recognize faces not only by utilizing some holistic search among all learned faces, but also through a feature analysis that aimed to specify more important features of each s...
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Neuroscientists believe that human beings recognize faces not only by utilizing some holistic search among all learned faces, but also through a feature analysis that aimed to specify more important features of each specific face. In this paper, we propose a hierarchical classifier that uses both holistic search and per face dominant feature analysis to recognize faces. Reinforcement learning is used to find a set of dominant features for each image in a training dataset. Wavelet transform is employed as a preprocessing tool, which results in higher discrimination among classes. Simulation studies justify the better performance of the proposed method as compared to that of eigenface method.
Images are often contaminated by impulse noise. The major drawback of median filtering and its variants - that are widely used for removing impulsive noise - is the blurring effect for large window sizes and low noise...
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Images are often contaminated by impulse noise. The major drawback of median filtering and its variants - that are widely used for removing impulsive noise - is the blurring effect for large window sizes and low noise suppression for small window sizes. In this paper, a fuzzy-competitive algorithm for removing impulse noise in images is proposed. The proposed algorithm utilized fuzzy inference systems for impulse detection. The detected impulses are then removed using long-range correlation information in a competitive scheme. The experimental results show that the performance of our method in removing impulsive noises is better than that of most other state-of-the-art methods
This paper proposes a new method of face representation which is used for face recognition by SVM. For face representation we have used a two-step method, first two-dimensional discrete wavelet transform (DWT) is used...
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This paper proposes a new method of face representation which is used for face recognition by SVM. For face representation we have used a two-step method, first two-dimensional discrete wavelet transform (DWT) is used to transform the faces to a more discriminated space and then principal component analysis (PCA) is applied. The proposed method produced a significant improvement which includes a substantial reduction in error rate and in time of processing during the obtaining PCA orthonormal basis.
This paper deals with modeling and analysis for the landing motion of a human-body model. First, the dynamic model of a floating human body and the impact model are derived and the external impulse exerted on the grou...
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This paper deals with modeling and analysis for the landing motion of a human-body model. First, the dynamic model of a floating human body and the impact model are derived and the external impulse exerted on the ground as well as the internal impulse experienced at the joints of the human body model are investigated. Second, a motion planning algorithm exploiting the kinematic redundancy is suggested to ensure stability in terms of ZMP stability condition during a series of landing phases. Four phases of landing motion are investigated. In simulation, the external and internal impulses experienced at the human joints and the ZMP history resulting from the motion planning are analyzed for two different configurations. A desired landing posture is suggested by comparison of the simulation results.
This paper focuses on genetic optimization and filtering efficiency ofa recently developed class ofWeighted Vector Directional Filters (WVDFs), which minimize the aggregated weighted angular distances between the samp...
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This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous res...
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This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous result on the robust stability analysis of the interval type uncertain fractional order LTI systems with crisply known fractional orders. We have proposed a stability check procedure for uncertain LTI systems with interval fractional orders and interval coefficients. The procedure is demonstrated with some simple examples
In this paper, we provide a new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing outliers present in microarray images while preservi...
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UTMAC is an object-oriented C++ class library, developed for design, implementation and simulation of multi-agent controllers. Using UTMAC, the control problem under analysis should be decomposed into several partial ...
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UTMAC is an object-oriented C++ class library, developed for design, implementation and simulation of multi-agent controllers. Using UTMAC, the control problem under analysis should be decomposed into several partial sub-problems to be solved by controller-agents, which can be implemented as reusable entities. UTMAC uses a non-centralized simulation scheme in which cash agent simulates itself. In this paper the structure of UTMAC is explored and design of a simple reusable multi-agent controller is provided to illustrate the work and show the convenience of design and implementation.
AlGaN/GaN double heterostructure high electron mobility transistors (DH-HEMT's) with a 2.0 /spl mu/m gate length and a 4 /spl mu/m channel length, exhibiting good temperature characteristics, have been demonstrate...
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AlGaN/GaN double heterostructure high electron mobility transistors (DH-HEMT's) with a 2.0 /spl mu/m gate length and a 4 /spl mu/m channel length, exhibiting good temperature characteristics, have been demonstrated. The maximum drain current I/sub ds/ and extrinsic transconductance G/sub m/ are 1300 mA/mm 235 mS/mm, 85.0 mA/mm 174 mS/mm, and 475 mA/mm, 95 mS/mm, respectively at T = -194/spl deg/C, 20/spl deg/C and 400/spl deg/C. The temperature coefficient of I/sub ds/ and G/sub m/ are -1.4 mA//spl deg/C and 0.24 mS//spl deg/C respectively.
This paper reports on the development of a training simulator focusing on voltage control and stability. It has been derived from a quasisteady-state simulation software already used and validated in planning and oper...
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This paper reports on the development of a training simulator focusing on voltage control and stability. It has been derived from a quasisteady-state simulation software already used and validated in planning and operational planning studies. The computational engine has been provided with a user interface built on the client-server architecture, allowing the simulator to run on a network of PCs in a very flexible way. New displays can be set up easily and quickly. This tool is presently used by Hydro-Quebec to improve the operator's ability to control transmission voltages. Other features, uses and benefits are reported.
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