A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
出版年份 2020 全文链接
标题
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
作者
关键词
-
出版物
EXPERT SYSTEMS
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2020-03-03
DOI
10.1111/exsy.12541
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- (2020) Abdul Majid et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Gastrointestinal diseases segmentation and classification based on duo-deep architectures
- (2020) Mehshan Ahmed Khan et al. PATTERN RECOGNITION LETTERS
- A general tensor representation framework for cross-view gait recognition
- (2019) Xianye Ben et al. PATTERN RECOGNITION
- Real time violence detection framework for football stadium comprising of big data analysis and deep learning through bidirectional LSTM
- (2019) Dinesh Jackson Samuel R. et al. Computer Networks
- Improved strategy for human action recognition; experiencing a cascaded design
- (2019) Muhammad Attique Khan et al. IET Image Processing
- A Machine Learning Method with Threshold Based Parallel Feature Fusion and Feature Selection for Automated Gait Recognition
- (2019) Muhammad Sharif et al. Journal of Organizational and End User Computing
- An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification
- (2018) M. Attique Khan et al. BMC CANCER
- Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
- (2018) Muhammad Sharif et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A novel machine learning approach for scene text extraction
- (2018) Ghulam Jillani Ansari et al. Future Generation Computer Systems-The International Journal of eScience
- Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning
- (2018) Mudassar Raza et al. Future Generation Computer Systems-The International Journal of eScience
- Multi-Gait Recognition Based on Attribute Discovery
- (2018) Xin Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- AUTOMATED ULCER AND BLEEDING CLASSIFICATION FROM WCE IMAGES USING MULTIPLE FEATURES FUSION AND SELECTION
- (2018) AMNA LIAQAT et al. Journal of Mechanics in Medicine and Biology
- Feedback weight convolutional neural network for gait recognition
- (2018) Huimin Wu et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach
- (2018) Muhammad Nasir et al. MICROSCOPY RESEARCH AND TECHNIQUE
- IDNet: Smartphone-based gait recognition with convolutional neural networks
- (2018) Matteo Gadaleta et al. PATTERN RECOGNITION
- Multiview max-margin subspace learning for cross-view gait recognition
- (2018) Wanjiang Xu et al. PATTERN RECOGNITION LETTERS
- A framework for offline signature verification system: Best features selection approach
- (2018) Muhammad Sharif et al. PATTERN RECOGNITION LETTERS
- Deep Learning for Computer Vision: A Brief Review
- (2018) Athanasios Voulodimos et al. Computational Intelligence and Neuroscience
- Recent advances in Big Data Analytics, Internet of Things and Machine Learning
- (2018) Roshan Joy Martis et al. Future Generation Computer Systems-The International Journal of eScience
- CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
- (2018) Muhammad Attique Khan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Robust Arbitrary-View Gait Recognition Based on 3D Partial Similarity Matching
- (2017) Jin Tang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Fisher Motion Descriptor for Multiview Gait Recognition
- (2017) F.M. Castro et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- A NOVEL BIOMECHANICS-BASED APPROACH FOR PERSON RE-IDENTIFICATION BY GENERATING DENSE COLOR SIFT SALIENCE FEATURES
- (2017) JAMAL HUSSAIN SHAH et al. Journal of Mechanics in Medicine and Biology
- Invariant feature extraction for gait recognition using only one uniform model
- (2017) Shiqi Yu et al. NEUROCOMPUTING
- A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection
- (2017) Muhammad Sharif et al. EURASIP Journal on Image and Video Processing
- Extraction of emotions from multilingual text using intelligent text processing and computational linguistics
- (2017) Vinay Kumar Jain et al. Journal of Computational Science
- DeepGait: A Learning Deep Convolutional Representation for View-Invariant Gait Recognition Using Joint Bayesian
- (2017) Chao Li et al. Applied Sciences-Basel
- Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
- (2016) Chandra Prakash et al. ARTIFICIAL INTELLIGENCE REVIEW
- Fusion of sparse representation and dictionary matching for identification of humans in uncontrolled environment
- (2016) Steven Lawrence Fernandes et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition
- (2016) Imad Rida et al. IEEE SIGNAL PROCESSING LETTERS
- Viewpoint-independent gait recognition through morphological descriptions of 3D human reconstructions
- (2016) D. López-Fernández et al. IMAGE AND VISION COMPUTING
- Multimodal features fusion for gait, gender and shoes recognition
- (2016) Francisco M. Castro et al. MACHINE VISION AND APPLICATIONS
- ODROID XU4 based implementation of decision level fusion approach for matching computer generated sketches
- (2016) Steven Lawrence Fernandes et al. Journal of Computational Science
- Entropy volumes for viewpoint-independent gait recognition
- (2015) D. López-Fernández et al. MACHINE VISION AND APPLICATIONS
- Gait based authentication using gait information image features
- (2015) Parul Arora et al. PATTERN RECOGNITION LETTERS
- On how to improve tracklet-based gait recognition systems
- (2015) Manuel J. Marín-Jiménez et al. PATTERN RECOGNITION LETTERS
- Active energy image plus 2DLPP for gait recognition
- (2010) Erhu Zhang et al. SIGNAL PROCESSING
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