Search Results for author:
Found 8 papers, 2 papers with code
IPD:An Incremental Prototype based DBSCAN for large-scale data with cluster representatives
The purpose can be accomplished when clustering act as a tool to identify cluster representatives and query is served by assigning cluster labels of nearest representative.
Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images
Weekly variation in TMG of a patient is computed from the image data and also estimated from a cell survivability model.
Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images
The mean Jacobian of these regions $\mu_U$, $\mu_G$ and $\mu_R$ are statistically compared and a response assessment model is proposed.
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme
Recently, CNN is a popular choice to handle the hyperspectral image classification challenges.
CNAK : Cluster Number Assisted K-means
Overall we have observed significant improvement in speed and quality for predicting cluster numbers as well as the composition of clusters in a large dataset.
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
We report accuracies up to $85. 6\%$ ( $94. 75\%$ ) on scenarios with 13 ( 4 ) classes of CIFAR100, using a pre-trained VGG-16 network on the full data set.
Anveshak - A Groundtruth Generation Tool for Foreground Regions of Document Images
Here, annotation of an input document image is done based on the foreground pixels.
Low-complexity feedback-channel-free distributed video coding using Local Rank Transform
In this paper, we propose a new feedback-channel-free Distributed Video Coding (DVC) algorithm using Local Rank Transform (LRT).
