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In many real-world applications, the accurate number of clusters in the data set may be unknown in advance. In addition, clustering criteria are usually high dimensional, nonlinear and multi-model functions and most existing clustering algorithms are only able to achieve a clustering solution that locally optimizes them. Therefore, a single clustering criterion sometimes fails to identify all clusters...
A neural representation of combinational logic circuit is proposed, called `Logical Neural Network' (LNN). LNN is a feed-forward neural network (NN) where the weights of the network indicate the connections of digital circuit. The logic operations of the circuit such as AND, OR, NOR etc are performed with the neurons of LNN. A modification of Simple Genetic Algorithm (mSGA) is applied to design and...
In traditional directional spatial prediction based video coding standards such as H.264/AVC, MPEG4 and AVS, zigzag scan is the fixed scan pattern which designed to organize quantized transform coefficients in order to bring the high-frequency components as more as possible, so that the coefficients can be encoded more efficiently using the entropy encoding. However, zigzag scan cannot efficiently...
Finding desire information from a large text database is one of the most important issues of modern information processing systems. In this regard different types of searching techniques are used. Though some of them are vary useful, they frequently fail to show appropriate performance when a user enters misspelled data as searching keyword. In this paper we have developed an efficient search suggestion...
The paper proposes a new technology to ensure enhanced security of personal identification information or binary images through the use of encryption and multiplexing processes. Orthogonal codes are employed to encrypt the given input images so that multiple encoded images can then be mixed together to save storage space or transmission bandwidth. The multiplexed and encoded image is further encrypted...
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