![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Multi-scale Spatial Aggregation Network for Remote Sensing Image Segmentation
Semantic segmentation of remote sensing images is of great significance to the interpretation of remote sensing images. Recently, convolutional neural networks have been increasingly used in this task since it...
-
Chapter and Conference Paper
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound
We present the first automatic solution for localizing fetal abdominal standard plane (FASP) in consecutive 2D ultrasound images. FASP is located in the presence of three key anatomies detected by learning bas...
-
Chapter and Conference Paper
Online Sequential Extreme Learning of Sparse Ridgelet Kernel Regressor for Nonlinear Time-Series Prediction
In this paper, inspired by Multiscale Geometric Analysis (MGA), a Sparse Ridgelet Kernel Regressor (SRKR) is constructed by combing ridgelet theory with kernel trick. Considering the preferable future of seque...
-
Chapter and Conference Paper
A New Adaptive Ridgelet Neural Network
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...
-
Chapter and Conference Paper
Ultra-wideband Nearfield Adaptive Beamforming Based on a RBF Neural Network
An adaptive beamforming method based on radial-basis function (RBF) neural network is examined for ultra-wideband (UWB) array illuminated by nearfield source in this paper. An analysis of the principle of spac...
-
Chapter and Conference Paper
A Novel Ridgelet Kernel Regression Method
In this paper, a ridgelet kernel regression model is proposed for approximation of multivariate functions, especially those with certain kinds of spatial inhomogeneities. It is based on ridgelet theory, kernel...
-
Chapter and Conference Paper
Compression of Remote Sensing Images Based on Ridgelet and Neural Network
To get a high-ratio compression of remote sensing images, we advanced a new compression method using neural network (NN) and a geometrical multiscale analysis (GMA) tool-ridgelet. Ridgelet is powerful in deali...