2002 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and image processing using soft computing.
1998 - Fellow, The World Academy of Sciences
1993 - IEEE Fellow For contributions to pattern recognition and image processing using fuzzy set theoretic methods.
Fellow of the Indian National Academy of Engineering (INAE)
Sankar K. Pal spends much of his time researching Artificial intelligence, Pattern recognition, Fuzzy set, Fuzzy logic and Pattern recognition. Sankar K. Pal interconnects Machine learning and Data mining in the investigation of issues within Artificial intelligence. The various areas that Sankar K. Pal examines in his Pattern recognition study include Image processing, Entropy and Cluster analysis.
Sankar K. Pal works mostly in the field of Cluster analysis, limiting it down to topics relating to Segmentation and, in certain cases, Thresholding, as a part of the same area of interest. His Fuzzy logic study which covers Pixel that intersects with Smoothing. His Pattern recognition study incorporates themes from Range and Feature.
His main research concerns Artificial intelligence, Pattern recognition, Fuzzy logic, Fuzzy set and Data mining. His Artificial intelligence research incorporates elements of Machine learning and Computer vision. His Pattern recognition research includes elements of Entropy, Neuro-fuzzy and Cluster analysis.
His Fuzzy set research includes themes of Image processing, Algorithm and Ambiguity. His Algorithm research is multidisciplinary, incorporating elements of Genetic algorithm and Mathematical optimization. He works mostly in the field of Fuzzy classification, limiting it down to topics relating to Fuzzy set operations and, in certain cases, Defuzzification.
Sankar K. Pal mainly focuses on Artificial intelligence, Pattern recognition, Rough set, Granular computing and Data mining. In his study, which falls under the umbrella issue of Artificial intelligence, Deep learning is strongly linked to Computer vision. His Rough set research is multidisciplinary, relying on both Video tracking, Fuzzy set, Probabilistic logic and Image processing.
His research investigates the connection between Granular computing and topics such as Social network that intersect with problems in Node. His studies link Fuzzy clustering with Data mining. As a member of one scientific family, Sankar K. Pal mostly works in the field of Artificial neural network, focusing on Feature selection and, on occasion, Cluster analysis, Decision table and Self-organizing map.
Artificial intelligence, Data mining, Rough set, Cognitive science and Fuzzy logic are his primary areas of study. His Artificial intelligence study integrates concerns from other disciplines, such as Computer vision and Pattern recognition. His biological study spans a wide range of topics, including Ranking, microRNA, Entropy and Fuzzy clustering.
His work investigates the relationship between Data mining and topics such as Fuzzy set that intersect with problems in Outlier, Set theory, Knowledge extraction, Kernel and Anomaly detection. His Rough set research incorporates themes from Video tracking and Text mining. His biological study deals with issues like Entropy, which deal with fields such as Probabilistic logic, Video sequence, Speedup and Cluster analysis.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A review on image segmentation techniques
Nikhil R Pal;Sankar K Pal.
Pattern Recognition (1993)
Fuzzy models for pattern recognition : methods that search for structures in data
James C. Bezdek;Sankar K. Pal.
Fuzzy models for pattern recognition
James C. Bezdek;Sankar K. Pal.
Unsupervised feature selection using feature similarity
P. Mitra;C.A. Murthy;S.K. Pal.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)
Multilayer perceptron, fuzzy sets, and classification
S.K. Pal;S. Mitra.
IEEE Transactions on Neural Networks (1992)
Data mining in soft computing framework: a survey
S. Mitra;S.K. Pal;P. Mitra.
IEEE Transactions on Neural Networks (2002)
Fuzzy Mathematical Approach to Pattern Recognition
Sankar K. Pal;Dwijesh K. Dutta-Majumder.
Foundations of soft case-based reasoning
Simon Shiu;Sankar K. Pal.
Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients
Praveen Kumar Tripathi;Sanghamitra Bandyopadhyay;Sankar Kumar Pal.
Information Sciences (2007)
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Sankar K. Pal;Andrzej Skowron.
Profile was last updated on December 6th, 2021.
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