2 papers
cs.CV2019
Multi-class Novelty Detection Using Mix-up Technique
Supritam Bhattacharjee, Devraj Mandal, Soma Biswas
Multi-class novelty detection is increasingly becoming an important area of research due to the continuous increase in the number of object categories. It tries to answer the perti…
cs.LG2016
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach
Shounak Datta, Supritam Bhattacharjee, Swagatam Das
Many real-world clustering problems are plagued by incomplete data characterized by missing or absent features for some or all of the data instances. Traditional clustering methods…