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06/15/2022
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention
An effective backbone network is important to deep learning-based Deform...
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05/10/2022
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
The nature of thick-slice scanning causes severe inter-slice discontinui...
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10/30/2021
Speech Denoising Using Only Single Noisy Audio Samples
In this paper, we propose a novel Single Noisy Audio De-noising Framewor...
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06/08/2021
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
3D complete renal structures(CRS) segmentation targets on segmenting the...
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08/03/2020
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
Deep learning-based medical image registration and segmentation joint mo...
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07/28/2020
Generative networks as inverse problems with fractional wavelet scattering networks
Deep learning is a hot research topic in the field of machine learning m...
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07/21/2020
SLNSpeech: solving extended speech separation problem by the help of sign language
A speech separation task can be roughly divided into audio-only separati...
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03/08/2020
Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking
Tubular structure tracking is an important and difficult problem in the ...
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12/20/2019
Eikonal Region-based Active Contours for Image Segmentation
The minimal path model based on the Eikonal partial differential equatio...
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03/20/2019
Deep Octonion Networks
Deep learning is a research hot topic in the field of machine learning. ...
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03/06/2019
Compressing complex convolutional neural network based on an improved deep compression algorithm
Although convolutional neural network (CNN) has made great progress, lar...
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02/27/2019
Fractional spectral graph wavelets and their applications
One of the key challenges in the area of signal processing on graphs is ...
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02/27/2019
Modulated binary cliquenet
Although Convolutional Neural Networks (CNNs) achieve effectiveness in v...
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11/14/2018
Robust low-rank multilinear tensor approximation for a joint estimation of the multilinear rank and the loading matrices
In order to compute the best low-rank tensor approximation using the Mul...
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06/30/2018
Fractional Wavelet Scattering Network and Applications
Objective: The present study introduces a fractional wavelet scattering ...
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02/22/2017
MomentsNet: a simple learning-free method for binary image recognition
In this paper, we propose a new simple and learning-free deep learning n...
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03/03/2016
PCANet: An energy perspective
The principal component analysis network (PCANet), which is one of the r...
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12/20/2015
Kernel principal component analysis network for image classification
In order to classify the nonlinear feature with linear classifier and im...
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03/05/2015
Color Image Classification via Quaternion Principal Component Analysis Network
The Principal Component Analysis Network (PCANet), which is one of the r...
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11/05/2014
Tensor object classification via multilinear discriminant analysis network
This paper proposes a multilinear discriminant analysis network (MLDANet...
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11/05/2014
Multilinear Principal Component Analysis Network for Tensor Object Classification
The recently proposed principal component analysis network (PCANet) has ...
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07/24/2014
