Wavelet extreme learning machine and deep learning for data classification
Abstract Recently, the Extreme Learning Machine (ELM) algorithm has been applied to
various fields due to its rapidity and significant generalization performance. Traditionally …
various fields due to its rapidity and significant generalization performance. Traditionally …
A novel approach for face recognition based on fast learning algorithm and wavelet network theory
This paper presents a new approach of face recognition based on wavelet network using 2D
fast wavelet transform and multiresolution analysis. This approach is divided in two stages …
fast wavelet transform and multiresolution analysis. This approach is divided in two stages …
A deep stacked wavelet auto-encoders to supervised feature extraction to pattern classification
The major issue in pattern classification is in the extraction of features in the training phase.
The focus of this work is on combining the ability of wavelet networks and the deep learning …
The focus of this work is on combining the ability of wavelet networks and the deep learning …
[PDF][PDF] An efficient deployment approach for improved coverage in wireless sensor networks based on flower pollination algorithm
ABSTRACT Wireless Sensor Networks (WSNs) are experiencing a revival of interest and a
continuous advancement in various scientific and industrial fields. WSNs offer favorable low …
continuous advancement in various scientific and industrial fields. WSNs offer favorable low …
A speech recognition system based on hybrid wavelet network including a fuzzy decision support system
This paper aims at develo** a novel approach for speech recognition based on wavelet
network learnt by fast wavelet transform (FWN) including a fuzzy decision support system …
network learnt by fast wavelet transform (FWN) including a fuzzy decision support system …
Multi-input multi-output beta wavelet network: modeling of acoustic units for speech recognition
In this paper, we propose a novel architecture of wavelet network called Multi-input Multi-
output Wavelet Network MIMOWN as a generalization of the old architecture of wavelet …
output Wavelet Network MIMOWN as a generalization of the old architecture of wavelet …
Primary emotions and recognition of their intensities
The emotion recognition field has two major issues. On the one hand, it is difficult to find the
same emotion state in different persons since they may express the same emotion state in …
same emotion state in different persons since they may express the same emotion state in …
Learning deep wavelet networks for recognition system of Arabic words
In this paper, we propose a new method of learning for speech signal. This technique is
based on the deep learning and the wavelet network theories. The goal of our approach is to …
based on the deep learning and the wavelet network theories. The goal of our approach is to …
[PDF][PDF] A deep convolutional neural wavelet network for classification of medical images
This work present a new solution for medical image classification using the Neural Network
(NN) and Wavelet Network (WN) based on the Fast Wavelet Transform (FWT) and the …
(NN) and Wavelet Network (WN) based on the Fast Wavelet Transform (FWT) and the …
Emotion recognition using the shapes of the wrinkles
The emotion recognition has become a hot research topic in different domains: Human-
Machine-Interaction, Natural Language processing etc. Recent research in the domain of …
Machine-Interaction, Natural Language processing etc. Recent research in the domain of …