A Deep Convolutional Neural Network Architecture for Boosting Image Discrimination Accuracy of Rice Species
出版年份 2018 全文链接
标题
A Deep Convolutional Neural Network Architecture for Boosting Image Discrimination Accuracy of Rice Species
作者
关键词
Deep learning, Convolutional neural network, Machine vision, Classification, Rice
出版物
Food and Bioprocess Technology
Volume 11, Issue 4, Pages 765-773
出版商
Springer Nature
发表日期
2018-01-04
DOI
10.1007/s11947-017-2050-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Hybrid convolutional neural networks for articulatory and acoustic information based speech recognition
- (2017) Vikramjit Mitra et al. SPEECH COMMUNICATION
- Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning
- (2016) A. Nguyen et al. EVOLUTIONARY COMPUTATION
- Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
- (2016) Jakub Konecny et al. IEEE Journal of Selected Topics in Signal Processing
- Image Super-Resolution Using Deep Convolutional Networks
- (2016) Chao Dong et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks
- (2016) Alvin Rajkomar et al. JOURNAL OF DIGITAL IMAGING
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification
- (2016) Peng Wang et al. NEUROCOMPUTING
- A computationally efficient scheme for feature extraction with kernel discriminant analysis
- (2016) Hwang-Ki Min et al. PATTERN RECOGNITION
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
- PCANet: A Simple Deep Learning Baseline for Image Classification?
- (2015) Tsung-Han Chan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection
- (2015) Shengfeng He et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Reading Text in the Wild with Convolutional Neural Networks
- (2015) Max Jaderberg et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
- (2015) Wenlu Zhang et al. NEUROIMAGE
- Blind inpainting using the fully convolutional neural network
- (2015) Nian Cai et al. VISUAL COMPUTER
- Potential Applications of Computer Vision in Quality Inspection of Rice: A Review
- (2015) Hemad Zareiforoush et al. Food Engineering Reviews
- Spectral–spatial classification of hyperspectral images using deep convolutional neural networks
- (2015) Jun Yue et al. Remote Sensing Letters
- Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
- (2014) Xueyun Chen et al. IEEE Geoscience and Remote Sensing Letters
- Virtual and Real World Adaptation for Pedestrian Detection
- (2013) David Vazquez et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Shape Analysis of Agricultural Products: A Review of Recent Research Advances and Potential Application to Computer Vision
- (2011) Corrado Costa et al. Food and Bioprocess Technology
- A novel hybrid CNN–SVM classifier for recognizing handwritten digits
- (2011) Xiao-Xiao Niu et al. PATTERN RECOGNITION
- Image Detection of Rice Fissures Using Biorthogonal B-Spline Wavelets in Multi-resolution Spaces
- (2010) Ping Lin et al. Food and Bioprocess Technology
- Identification of Broken Rice Kernels Using Image Analysis Techniques Combined with Velocity Representation Method
- (2010) Ping Lin et al. Food and Bioprocess Technology
- Quantification of Nitrogen Status in Rice by Least Squares Support Vector Machines and Reflectance Spectroscopy
- (2009) Yongni Shao et al. Food and Bioprocess Technology
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started