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We have extended the calculation procedure to cylindrical samples of anisotropic crystals for RUSpec measurements. The deformation is expressed with Chebyshev polynomials and the Rayleigh-Ritz method is used. We concentrated on anisotropic materials which can be more complicated for the formulation of vibration frequencies. The formulation is angular dependent with cylindrical coordinates. The calculation...
A smile is a common human facial expression used as the indicator for positive emotion. The detection of smiling has many applications, for example, controlling camera shutter when a smile is detected and measuring the degree of satisfaction during a video conference. Many feature extraction methods have been proposed for detecting a smile in the unconstrained scenarios. However, the dimensions of...
Hundreds of millions of webusers access to or use a variety of network services via various digital identity credentials every day. Network security issues such as Identity authentication, privacy and information sharing have become focuses of IT industry. To strengthen network security management and risk prevention, some of China's large-scale sites have launched real name registration policy, indicating...
Extreme Learning Machine (ELM) as a type of generalized single-hidden layer feed-forward networks (SLFNs) has demonstrated its good generalization performance with extreme fast learning speed in many benchmark and real applications. This paper further studies the performance of ELM and its variants in object recognition using two different feature extraction methods. The first method extracts texture...
We demonstrate numerically that the shape (“c” and triangle) and the orientation of surface plasmon intensity distribution can be arbitrarily controlled in a plasmonic spiral through simple geometrical design.
It is the key problems in 3D model retrieval to obtain good feature and classify models efficiently. Although many feature extraction methods have been proposed, none is adapted to all models. Moreover, it still relies on manual work to classify models. To solve these problems, firstly, the paper proposes a series of selective combination methods which automatically decide each feature's appropriate...
3D model retrieval emerges as an important part of multimedia information retrieval. Current researches in 3D model retrieval concentrate on the shape-based way. However, its performance isn't satisfying because of the semantic gap. The paper explores the semantic-based 3D model retrieval method based on semantic tree and the hybrid method based on content and semantic. First, the semantic tree is...
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