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Raghu Krishnapuram

Raghu Krishnapuram

D-Index & Metrics

Computer Science

D-Index
49
Citations
14308
World Ranking
5772
National Ranking
53

Research.com Recognitions

  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

Raghu Krishnapuram is affiliated with the Indian Institute of Science in India. Their research primarily spans the fields of Engineering and Computer Science, with a focused engagement in Aerospace Engineering and Computer Vision and Pattern Recognition.

The scientist's work delves deeply into various specialized topics, including:

  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • UAV Applications and Optimization
  • Guidance and Control Systems

They have contributed to several publications, with a significant presence in venues such as arXiv (Cornell University) and Field Robotics. Their recent papers include:

  • "Autonomous Cooperative Multi-Vehicle System for Interception of Aerial and Stationary Targets" (2022) published in Field Robotics
  • "Vision based Target Interception using Aerial Manipulation" (2020) published in arXiv (Cornell University)
  • "Autonomous Cooperative Multi-Vehicle System for Interception of Aerial and Stationary Targets in Unknown Environments" (2021) published in arXiv (Cornell University)
  • "The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic" (2025) published in arXiv (Cornell University)

Frequent coauthors involved in their research include:

  • Lima Agnel Tony
  • Shuvrangshu Jana
  • V. P. Varun
  • B. V. Vidyadhara
  • Mohitvishnu S. Gadde

The scientist has been recognized as a Fellow of the Indian National Academy of Engineering (INAE).

Best Publications

  • A possibilistic approach to clustering

    R. Krishnapuram;J.M. Keller

  • The possibilistic C-means algorithm: insights and recommendations

    R. Krishnapuram;J.M. Keller

  • Robust clustering methods: a unified view

    R.N. Dave;R. Krishnapuram

  • A robust competitive clustering algorithm with applications in computer vision

    H. Frigui;R. Krishnapuram

  • Clustering by competitive agglomeration

    Hichem Frigui;Raghu Krishnapuram

  • Low-complexity fuzzy relational clustering algorithms for Web mining

    R. Krishnapuram;A. Joshi;O. Nasraoui;L. Yi

  • AN OVERVIEW OF MEMBERSHIP FUNCTION GENERATION TECHNIQUES FOR PATTERN RECOGNITION

    Swarup Medasani;Jaeseok Kim;Raghu Krishnapuram

  • A robust approach to image enhancement based on fuzzy logic

    Young Sik Choi;R. Krishnapuram

  • Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. II

    R. Krishnapuram;H. Frigui;O. Nasraoui

  • A fuzzy relative of the k-medoids algorithm with application to web document and snippet clustering

    R. Krishnapuram;A. Joshi;Liyu Yi

  • A hierarchical monothetic document clustering algorithm for summarization and browsing search results

    Krishna Kummamuru;Rohit Lotlikar;Shourya Roy;Karan Singal

  • Quantitative analysis of properties and spatial relations of fuzzy image regions

    R. Krishnapuram;J.M. Keller;Y. Ma

  • Fitting an unknown number of lines and planes to image data through compatible cluster merging

    Raghu Krishnapuram;Chih-Pin Freg

  • The fuzzy c spherical shells algorithm: A new approach

    R. Krishnapuram;O. Nasraoui;H. Frigui

  • A note on the Gustafson-Kessel and adaptive fuzzy clustering algorithms

    R. Krishnapuram;Jongwoo Kim

  • Fuzzy co-clustering of documents and keywords

    K. Kummamuru;A. Dhawale;R. Krishnapuram

  • Content-based image retrieval based on a fuzzy approach

    R. Krishnapuram;S. Medasani;Sung-Hwan Jung;Young-Sik Choi

  • Vehicular Traffic Density State Estimation Based on Cumulative Road Acoustics

    Vivek Tyagi;Shivkumar Kalyanaraman;Raghuram Krishnapuram

  • A robust algorithm for automatic extraction of an unknown number of clusters from noisy data

    Hichem Frigui;Raghu Krishnapuram

  • On Mining Web Access Logs

    Anupam Joshi;Raghu Krishnapuram

Frequent Co-Authors

Olfa Nasraoui
Olfa Nasraoui University of Louisville
James M. Keller
James M. Keller University of Missouri
Anupam Joshi
Anupam Joshi University of Maryland, Baltimore County
Paul D. Gader
Paul D. Gader University of Florida
Rajesh N. Dave
Rajesh N. Dave New Jersey Institute of Technology
James C. Bezdek
James C. Bezdek University of Melbourne
Rakesh Agrawal
Rakesh Agrawal Purdue University West Lafayette
Ludmila I. Kuncheva
Ludmila I. Kuncheva Bangor University
George Vachtsevanos
George Vachtsevanos Georgia Institute of Technology
Waldemar Karwowski
Waldemar Karwowski University of Central Florida

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