In this paper, based on the method of environmental sound detection, a neural network model capsule and Gaussian mixture is proposed. The proposed in paper mainly aims at disadvantages dynamic routing algorithm network, proposes model. improved assumes that characteristics data conform to multi-dimensional distribution, so can learn distribution features by building functions different classes....

The codebook design is the most essential core technique in constrained feedback massive multi-input multi-output (MIMO) system communications. MIMO vectors have been generally isotropic or evenly distributed traditional designs. In this paper, Gaussian mixture model (GMM) based clustering proposed, which inspired by strong classification and analytical abilities of techniques. Huge quantities ...

In this paper, we study the problem of clustering in Two component Gaussian mixture model when centers are separated by some Δ>0. We present a nonasymptotic lower bound for corresponding minimax Hamming risk improving on existing results. also propose an optimal, efficient and adaptive procedure that is rate optimal. The optimality moreover sharp asymptotics sample size goes to infinity. Our ba...

Abstract: In this paper, an efficient approach to search for the global threshold of image using Gaussian mixture model is proposed. Firstly, a gray-level histogram of an image is represented as a function of the frequencies of gray-level. Then,to fit the Gaussian mixtures to the histogram of image, the Expectation Maximization (EM) algorithm is developed to estimate the number of Gaussian mixt...