About
Dr.Mamatha H R received her B E degree in Computer Science and Engineering from the Kuvempu University in 1998 and the M.Tech degree in Computer Networks and Engineering from the Visvesvaraya Technological University in 2006. She obtained her Doctoral Degree from Visvesvaraya Technological University. She has total 23+ years of teaching experience. Her current research interests include Natural Language Processing, Data Analytics ,Pattern Recognition and Image Processing. She has published 90+ international papers. She is a life member of Indian Society for Technical Education, MIR Labs and IACSIT. She is a reviewer for various international conferences and journals. She has mentored students for various competitions at international level including the Windows Embedded Students Challenge Competition-2006 held at Microsoft Campus, Redmond, Seattle, USA. and 2021 VizWiz Grand Challenge Workshop, The University of Texas at Austin Currently she is working as a Professor in the Department of Computer Science and Engineering, P E S University.
Employment
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PES University Professor2006 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (97)
- How to Improve Video Analytics with Action Recognition: A Survey Save
- Enhancing Robustness in Audio Visual Speech Recognition: A preprocessing approach with Transformer and CTC Loss Save
- An Efficient Real-Time Recognition of Static Kannada Sign Language Save
- An Efficient Real-Time Word-Level Recognition of Indian Sign Language Save
- Delving into Linguistic Nuances: Exploring Humor in Tulu Versus Analyzing Humor, Sarcasm and Irony in Kannada Save
- Stacked LSTM Model for Shakespeare Style Poem Generation Save
- Traffic Congestion Prediction Based on Spatio-Temporal Graph Structure Learning Save
- Sentiment Analysis of Hotel Reviews-a Comparative Study Save
- Region-Based Convolutional Neural Network for Segmenting Text in Epigraphical Images Save
- Recognition of Indian Classical Dance Hand Gestures Save