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The GMM classifier for pattern recognition has shown increased intention in many applications such as speaker verification and identification. Such classifier requires a large storage and complex processing units but improved in performances. The performances of the GMM and its hardware complexity are analyzed in this paper. FPGA-based hardware implementation of the Log-Add algorithm is presented...
An application of Parallel Radial Basis Function (PRBF) network model on prediction of chaotic time series is presented in this paper. The PRBF net consists of a number of radial basis function (RBF) subnets connected in parallel. The number of input nodes for each RBF subnet is determined by different embedding dimension based on chaotic phase-space reconstruction. The output of PRBF is a weighted...
The paper provides a novel approach to emotion recognition from facial expression and voice of subjects. The subjects are asked to manifest their emotional exposure in both facial expression and voice, while uttering a given sentence. Facial features including mouth-opening, eye-opening, eyebrow-constriction, and voice features including, first three formants: F1, F2, and F3, and respective powers...
The paper provides a novel approach to emotion recognition from facial expression and voice of subjects. The subjects are asked to manifest their emotional exposure in both facial expression and voice, while uttering a given sentence. Facial features including mouth-opening, eye-opening, eyebrow-constriction, and voice features including, first three formants: F1, F2, and F3, and respective powers...
This paper proposes a new fast multi-reference picture motion estimation algorithm which uses the relation of motion vector with distance of each frame. The proposed algorithm reduces search areas of motion estimation using linear feature of object's motion for fast motion estimation. Search areas in reference picture 2, 3 and 4 are minimized using a distance of each frame and motion vectors of reference...
We propose a data reduction technique with data accuracy for large polygonal data or iso-surface data. We utilize a voxel data structure to keep the original shape. Our decimation process checks each triangle inside the reduction width that user specified. We also improved the quality by moving the vertex position in the direction of the original model by using direction vector. We show the results...
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