Results 91 to 100 of about 591 (120)

Content-adaptive LSB steganography with saliency fusion, ACO dispersion, and hybrid encryption with ablation study. [PDF]

Sci Rep
Aljughaiman A, Alrawashdeh R.
europepmc   +1 more source

Privacy-preserving method for face recognition based on homomorphic encryption. [PDF]

PLoS One
Song Z, Wang G, Yang W, Li Y, Yu Y, Wang Z, Zheng X, Yang Y.   +7 more
europepmc   +1 more source

Efficient brain tumor grade classification using ensemble deep learning models. [PDF]

BMC Med Imaging
M S, Bv B, D P, S AK, Mathivanan SK, Shah MA.   +5 more
europepmc   +1 more source

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Incremental constructive ridgelet neural network

Neurocomputing, 2008
In this paper, a new kind of neural network is proposed by combining ridgelet with feedforward neural network (FNN). The network adopts ridgelet as the activation function in the hidden layer, and an incremental constructive method is employed to determine the structure of the network.
Shuyuan Yang 0001, Min Wang 0007, Licheng Jiao   +2 more
exaly   +2 more sources

A hybrid algorithm for training adaptive ridgelet neural network

2011 IEEE International Conference on Computer Science and Automation Engineering, 2011
Ridgelet neural network is a new model of artificial neural network. In this paper, an adaptive ridgelet neural network with one single hidden-layer is constructed by substituting the ridgelet function for the S-type activation function. To obtain higher accuracy and learning speed, a hybrid algorithm for training the network is researched based on ...
Mingyi He
exaly   +2 more sources

Ridgelet and BP Neural Network Based Face Detection Method

2008 7th World Congress on Intelligent Control and Automation, 2008
The ridgelet transformation was introduced as a sparse expansion for functions on continuous spaces that are smooth away from discontinuities along lines. Focusing on the face detection problem, a novel face detection method using ridgelet transform and BP neural network was proposed. Two stages are involved in this method. Firstly, the pretreated face
null Xuebin Xu, null Xinman Zhang, null Deyun Zhang   +2 more
exaly   +2 more sources

Double-paralleled ridgelet neural network with IFPSO training algorithm

2011 International Conference on Electrical and Control Engineering, 2011
To speed up the convergence and promote the generalized performance of adaptive ridgelet neural network, we present a new model, Double-paralleled Ridgelet Neural Network, which consists of two paralleled networks — a hidden-layer adaptive ridgelet network and a single-layer feedforward neural network In order to obtain higher accuracy and learning ...
Mingyi He
exaly   +2 more sources

Short-term wind power forecasting using ridgelet neural network

Electric Power Systems Research, 2011
Abstract Rapid growth of wind power generation in many countries around the world in recent years has highlighted the importance of wind power prediction. However, wind power is a complex signal for modeling and forecasting. Despite the performed research works in the area, more efficient wind power forecast methods are still demanded. In this paper,
Nima Amjady, Farshid Keynia, Hamidreza Zareipour   +2 more
exaly   +2 more sources

Approximation of functions with spatial inhomogeneity based on “true” ortho-ridgelet neural network

Applied Soft Computing Journal, 2011
To approximate the multivariate functions with spatial inhomogeneity, in this paper we proposed an ortho-ridgelet neural network (ORNN) model. By taking orthonormal ridgelet, which is a ''true'' ridgelet function different with the ''classic'' ridgelet, as the activation function of the hidden neurons, the network is characterized of more efficient ...
Min Wang, Licheng Jiao
exaly   +2 more sources

A New Adaptive Ridgelet Neural Network

Lecture Notes in Computer Science, 2005
In this paper, a new kind of neural network is proposed by combining ridgelet with feed-forward neural network (FNN). The network adopts ridgelet as the activation function in hidden layer of a three-layer FNN. Ridgelet is a good basis for describing the directional information in high dimension and it proves to be optimal in representing the functions
Shuyuan Yang 0001, Min Wang 0007, Licheng Jiao   +2 more
exaly   +2 more sources