activity
20182026
most citedSPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Graph Representation of RaagBase: A Unique Dataset for Hindustani Music

Chandan Misra, Swarup Chattopadhyay

Raag classification is a fundamental MIR task for Hindustani Music, with applications in recommendation, education, archiving, and intelligent search. However, raag clustering rema…

cs.SD2026

Rag Classification of Tagore Songs using Symbolic Music Notation and Novel Weighted Distance Measures

Chandan Misra, Swarup Chattopadhyay

Rabindra Sangeet, the body of songs written and composed by Rabindranath Tagore, occupies a distinctive position in Indian music by combining poetic expression with melodic ideas d…

cs.SD2023★ 1 cited

SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet

Chandan Misra, Swarup Chattopadhyay

It is very important to access a rich music dataset that is useful in a wide variety of applications. Currently, available datasets are mostly focused on storing vocal or instrumen…

cs.DC2018★ 2 cited

Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark

Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh

This paper presents a new fast, highly scalable distributed matrix multiplication algorithm on Apache Spark, called Stark, based on Strassen's matrix multiplication algorithm. Star…

cs.DC2018★ 4 cited

SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark

Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh

The growth of big data in domains such as Earth Sciences, Social Networks, Physical Sciences, etc. has lead to an immense need for efficient and scalable linear algebra operations,…