activity
20152021
most citedA novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image

136 citations · 170 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2021

Detecting and Correcting IMU Movements During Joint Angle Estimation

Chunzhi Yi, Feng Jiang, Baichun Wei +4

Inertial measurement units (IMUs) increasingly function as a basic component of wearable sensor network (WSN)systems. IMU-based joint angle estimation (JAE) is a relatively typical…

cs.LG2016★ 1 cited

Privacy-Preserved Big Data Analysis Based on Asymmetric Imputation Kernels and Multiside Similarities

Bo-Wei Chen

This study presents an efficient approach for incomplete data classification, where the entries of samples are missing or masked due to privacy preservation. To deal with these inc…

cs.HC2016★ 9 cited

Geo-Conquesting Based on Graph Analysis for Crowdsourced Metatrails from Mobile Sensing

Bo-Wei Chen, Wen Ji

This article investigates graph analysis for intelligent marketing in smart cities, where metatrails are crowdsourced by mobile sensing for marketing strategies. Unlike most works…

cs.MM2015★ 136 cited

A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image

Khan Muhammad, Muhammad Sajjad, Irfan Mehmood +2

Image Steganography is a thriving research area of information security where secret data is embedded in images to hide its existence while getting the minimum possible statistical…

cs.IR2015★ 13 cited

Describing Colors, Textures and Shapes for Content Based Image Retrieval - A Survey

Jamil Ahmad, Muhammad Sajjad, Irfan Mehmood +2

Visual media has always been the most enjoyed way of communication. From the advent of television to the modern day hand held computers, we have witnessed the exponential growth of…

cs.LG2015★ 11 cited

Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition

Qi Guo, Bo-Wei Chen, Feng Jiang +2

This study presents a divide-and-conquer (DC) approach based on feature space decomposition for classification. When large-scale datasets are present, typical approaches usually em…