Related references
Note: Only part of the references are listed.A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Habiba Arshad et al.
EXPERT SYSTEMS (2022)
Photon-limited non-imaging object detection and classification based on single-pixel imaging system
Yan Zhu et al.
APPLIED PHYSICS B-LASERS AND OPTICS (2020)
Microscopic melanoma detection and classification: A framework of pixel-based fusion and multilevel features reduction
Amjad Rehman et al.
MICROSCOPY RESEARCH AND TECHNIQUE (2020)
Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
Abdul Majid et al.
MICROSCOPY RESEARCH AND TECHNIQUE (2020)
Gastrointestinal diseases segmentation and classification based on duo-deep architectures
Mehshan Ahmed Khan et al.
PATTERN RECOGNITION LETTERS (2020)
Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection
M. Attique Khan et al.
PATTERN RECOGNITION LETTERS (2020)
A Machine Learning Method with Threshold Based Parallel Feature Fusion and Feature Selection for Automated Gait Recognition
Muhammad Sharif et al.
JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING (2020)
Human action recognition using fusion of multiview and deep features: an application to video surveillance
Muhammad Attique Khan et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Feature selection via a novel chaotic crow search algorithm
Gehad Ismail Sayed et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Real-time vehicle type classification with deep convolutional neural networks
Xinchen Wang et al.
JOURNAL OF REAL-TIME IMAGE PROCESSING (2019)
High Performance Real-Time Pedestrian Detection Using Light Weight Features and Fast Cascaded Kernel SVM Classification
Muhammad Bilal et al.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (2019)
Convolutional Shape-Aware Representation for 3D Object Classification
Hamed Ghodrati et al.
NEURAL PROCESSING LETTERS (2019)
On fusing the latent deep CNN feature for image classification
Xueliang Liu et al.
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2019)
Joint learning for voice based disease detection
Kebin Wu et al.
PATTERN RECOGNITION (2019)
Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution
Habiba Arshad et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)
A convolutional feature map-based deep network targeted towards traffic detection and classification
Baljit Kaur et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Automatic Vehicle Tracking With Roadside LiDAR Data for the Connected-Vehicles System
Yuepeng Cui et al.
IEEE INTELLIGENT SYSTEMS (2019)
Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction
Tanzila Saba et al.
JOURNAL OF MEDICAL SYSTEMS (2019)
Diagnosis and recognition of grape leaf diseases: An automated system based on a novel saliency approach and canonical correlation analysis based multiple features fusion
Alishba Adeel et al.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS (2019)
Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network
Yu Wang et al.
APPLIED SOFT COMPUTING (2019)
A multi-faceted CNN architecture for automatic classification of mobile LiDAR data and an algorithm to reproduce point cloud samples for enhanced training
Bhavesh Kumar et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Impact of reduction in descriptor size on object detection and classification
Ritu Rani et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features
Muhammad Rashid et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
Continuous versions of firefly algorithm: a review
Surafel Luleseged Tilahun et al.
ARTIFICIAL INTELLIGENCE REVIEW (2019)
Good Practices on Building Effective CNN Baseline Model for Person Re-identification
Fu Xiong et al.
TENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2018) (2019)
Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric
Guohui Wei et al.
JOURNAL OF MEDICAL SYSTEMS (2018)
Toward real-time 3D object recognition: A lightweight volumetric CNN framework using multitask learning
Shuaifeng Zhi et al.
COMPUTERS & GRAPHICS-UK (2018)
Locality constrained encoding of frequency and spatial information for image classification
Yongsheng Pan et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
Structure preserving dimensionality reduction for visual object recognition
Jinjoo Song et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
Muhammad Attique Khan et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Machine learning approach for automated visual inspection of machine components
S. Ravikumar et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Pyramid binary pattern features for real-time pedestrian detection from infrared videos
Hao Sun et al.
NEUROCOMPUTING (2011)
Combined SVM-based feature selection and classification
J Neumann et al.
MACHINE LEARNING (2005)