V
V. Ramalingam
Researcher at Annamalai University
Publications - 46
Citations - 1098
V. Ramalingam is an academic researcher from Annamalai University. The author has contributed to research in topics: Support vector machine & Mel-frequency cepstrum. The author has an hindex of 16, co-authored 42 publications receiving 984 citations.
Papers
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Classification of audio signals using SVM and RBFNN
TL;DR: This paper proposes effective algorithms to automatically classify audio clips into one of six classes: music, news, sports, advertisement, cartoon and movie, using the application of neural network for the classification of audio.
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Breast mass classification based on cytological patterns using RBFNN and SVM
TL;DR: It is demonstrated that RBFNN outperformed the polynomial kernel of SVM for correctly classifying the tumors and the results were compared to convey and compare the qualities of the classifiers.
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Automated assessment of breast tissue density in digital mammograms
TL;DR: The development of an automatic breast tissue classification methodology is described, which can be summarized in a number of distinct steps: (1) preprocessing, (2) feature extraction, and (3) classification.
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Classification of audio signals using AANN and GMM
TL;DR: Effective algorithms to automatically classify audio clips into one of six classes: music, news, sports, advertisement, cartoon and movie are proposed.
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Automatic classification of Tamil documents using vector space model and artificial neural network
TL;DR: In this paper, the authors proposed the application of vector space model (VSM) and ANN for the classification of Tamil language documents, and the experimental results show that ANN model achieves 93.33% which is better than the performance of VSM which yields 90.33%.