An overview on restricted Boltzmann machines
Abstract The Restricted Boltzmann Machine (RBM) has aroused wide interest in machine
learning fields during the past decade. This review aims to report the recent developments in …
learning fields during the past decade. This review aims to report the recent developments in …
Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility
W Chen, X Lei, R Chakrabortty, SC Pal… - Journal of …, 2021 - Elsevier
The objective of this study is to assess the gully head-cut erosion susceptibility and identify
gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area …
gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area …
Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region
Y Chen, W Chen, S Janizadeh, GS Bhunia… - Geocarto …, 2022 - Taylor & Francis
Piping erosion is one of the water erosions that cause significant changes in the landscape,
leading to environmental degradation. To prevent losses resulting from tube growth and …
leading to environmental degradation. To prevent losses resulting from tube growth and …
Refining architectures of deep convolutional neural networks
Abstract Deep Convolutional Neural Networks (CNNs) have recently evinced immense
success for various image recognition tasks. However, a question of paramount importance …
success for various image recognition tasks. However, a question of paramount importance …
Towards effective codebookless model for image classification
The bag-of-features (BoF) model for image classification has been thoroughly studied over
the last decade. Different from the widely used BoF methods which model images with a pre …
the last decade. Different from the widely used BoF methods which model images with a pre …
Facial age estimation by using stacked feature composition and selection
Y Li, Z Peng, D Liang, H Chang, Z Cai - The Visual Computer, 2016 - Springer
In this paper we propose a novel hierarchical feature composition and selection model used
in facial age estimation. In recent years, hierarchical architectures have been shown to …
in facial age estimation. In recent years, hierarchical architectures have been shown to …
Deep vanishing component analysis network for pattern classification
Convolutional neural networks (CNN) have achieved great success in image classification,
object detection and semantic segmentation. Generally, CNN is stacked by layers of …
object detection and semantic segmentation. Generally, CNN is stacked by layers of …
Multimedia analysis with deep learning
Recently, deep learning method has been attracting more and more researchers due to its
great success in various computer vision tasks. Particularly, some researchers focus on the …
great success in various computer vision tasks. Particularly, some researchers focus on the …
GALA-an automatic layout system for high density CMOS gate arrays
BN Tien, BS Ting, J Cheam, K Chow… - 21st Design …, 1984 - ieeexplore.ieee.org
This paper describes the automatic layout software system-GALA (Gate Array Layout
Automation)-developed at Hughes Aircraft Company for a high density CMOS gate array …
Automation)-developed at Hughes Aircraft Company for a high density CMOS gate array …
A versatile sparse representation based post-processing method for improving image super-resolution
J Yang, J Guo, H Chao - Neurocomputing, 2016 - Elsevier
The objective of this work is single image super-resolution (SR), in which the input is
specified by a low-resolution image and a consistent higher-resolution image should be …
specified by a low-resolution image and a consistent higher-resolution image should be …