activity
20132026
most citedCBIR using features derived by Deep Learning

50 citations · 63 across the 9 of their papers we have counts for

collaborators

9 papers

stat.ML2026

A Heterogeneous Mixture of Experts Framework for Interpretable Machine Learning

Soham Chatterjee, Rwitobroto Dey, Smarajit Bose

Mixture-of-Experts (MoE) models provide a flexible framework for partitioning complex prediction problems into simpler local learning tasks through an input-dependent gating mechan…

cs.CV2020★ 5 cited

Deep Image Orientation Angle Detection

Subhadip Maji, Smarajit Bose

Estimating and rectifying the orientation angle of any image is a pretty challenging task. Initial work used the hand engineering features for this purpose, where after the inventi…

cs.CV2020★ 1 cited

Rotation Invariant Deep CBIR

Subhadip Maji, Smarajit Bose

Introduction of Convolutional Neural Networks has improved results on almost every image-based problem and Content-Based Image Retrieval is not an exception. But the CNN features,…

cs.IR2020

An Improved Relevance Feedback in CBIR

Subhadip Maji, Smarajit Bose

Relevance Feedback in Content-Based Image Retrieval is a method where the feedback of the performance is being used to improve itself. Prior works use feature re-weighting and clas…

cs.IR2020★ 50 cited

CBIR using features derived by Deep Learning

Subhadip Maji, Smarajit Bose

In a Content Based Image Retrieval (CBIR) System, the task is to retrieve similar images from a large database given a query image. The usual procedure is to extract some useful fe…

stat.ML2015★ 1 cited

A Novel Minimum Divergence Approach to Robust Speaker Identification

Ayanendranath Basu, Smarajit Bose, Amita Pal +2

In this work, a novel solution to the speaker identification problem is proposed through minimization of statistical divergences between the probability distribution (g). of featur…

cs.IR2015★ 4 cited

A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation

Smarajit Bose, Amita Pal, Jhimli Mallick +2

The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases, a specified number of images similar in visual and semantic c…

stat.AP2013★ 1 cited

Minimum Distance Estimation of Milky Way Model Parameters and Related Inference

Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya +3

We propose a method to estimate the location of the Sun in the disk of the Milky Way using a method based on the Hellinger distance and construct confidence sets on our estimate of…

stat.ME2013★ 1 cited

Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models

Pragya Sur, Galit Shmueli, Smarajit Bose +1

Bimodal truncated count distributions are frequently observed in aggregate survey data and in user ratings when respondents are mixed in their opinion. They also arise in censored…