Area of research
Computer Vision and Pattern Recognition · Media Technology
Research interest
Research focused on Artificial intelligence and Autoencoder, with related work in Probabilistic latent semantic analysis, Codebook, Support vector machine. Notable publications include 'Unsupervised Image Classification by Probabilistic Latent Semantic Analysis for the Annotation of Images', 'Bag-of-Visual Words Codebook Development for the Semantic Content Based Annotation of Images', and 'Efficient region of interest detection using blind image division'.
The Improved Security System in Smart Wheelchairs for Detecting Stair Descent using Image Analysis
Adaptive bag‐of‐visual word modelling using stacked‐autoencoder and particle swarm optimisation for the unsupervised categorisation of images
Review of the application of machine learning to the automatic semantic annotation of images
Local Image Feature Extraction using Stacked-Autoencoder in the Bag-of-Visual Word modelling of Images
Elimination of Spatial Incoherency in Bag-of-Visual Words Image Representation Using Visual Sentence Modelling
Bag-of-Visual Words Codebook Development for the Semantic Content Based Annotation of Images
Efficient region of interest detection using blind image division
Unsupervised Region of Intrest Detection Using Fast and Surf
Unsupervised Image Classification by Probabilistic Latent Semantic Analysis for the Annotation of Images