Titlebook: Advances in Intelligent Information Hiding and Multimedia Signal Processing; Proceeding of the Tw Jeng-Shyang Pan,Pei-Wei Tsai,Hsiang-Cheh

enlist

https://doi.org/10.1007/978-94-017-1047-3 HMM-based speech synthesis. Facial features are generated from HMM and are converted into intensities of pixels using DNN. We investigate appropriate conditions for training of HMM and DNN. Then, we perform an objective evaluation to compare the proposed technique with a conventional technique based on the principal component analysis (PCA).

cochlea

https://doi.org/10.1007/978-94-007-1770-1eature exactor and classifier, CNN can learn to acquire features most suitable for the classi_cation task by being trained. According to the results of the experiments, when fed in enough training samples, CNN outperforms the exist methods. The proposed method can also be applied to solve intelligent diagnosis problems of other machine systems.

使害怕

EVEN

Antecedent

Constructions of Clifford wavelets,n synthesize the sequential silhouette images of the target. These silhouette images provide a variety of valuable features, such as height, shape, posture, and especially attenuation density for intrusion detection, people management or other monitoring tasks. A proof-of-concept system is built to validate the proposed method.

試驗(yàn)

Abrupt Climate Susceptibilitiesrt-based feature descriptor is firstly proposed to analyze human sleep comfort not matter human body is covered by a sheet or not. Experiments on a custom-made database established by a remote infrared camera demonstrated that the proposed method has promising performance for on-line human sleep comfort analysis.

離開真充足

intrude

壕溝

Increment