Category: IEEE 2017

Automatic Brain Segmentation Method based on Supervoxels

Automatic Brain Segmentation Method based on Supervoxels Abstract: In this work, we present a fully automatic brain segmentation method based on supervoxels (ABSOS). We propose novel features used for classification, that are based on distance and angle in different planes between supervoxel and brain centre. These novel features are combined with other prominent features. The […]


Confusion-matrix-based Kernel Logistic Regression for Imbalanced Data Classification

Learning Invariant Color Features for Person Re-Identification Abstract Matching people across multiple camera views known as person reidentification is a challenging problem due to the change in visual appearance caused by varying lighting conditions. The perceivedcolor of the subject appears to be different under different illuminations. Previous works use color as it is or address these challenges by designing color spaces focusing […]