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Manjunath, S. S. and Nandihal, P. and Rangarajan, L. (2017) A Heuristic Approach to Automatically Segment Signal from Background in DNA Microarray Images. In: International Conference on Cognitive Computing and Information Processing (CCIP 2017), December 15-16, 2017,, Bangalore.
Kouser, K. and Rangarajan, L. (2016) Alignment free promoter sequence analysis using feature reduced cumulative distribution of motifs. In: International Conference on Advances in Computing, Communications and Informatics (ICACCI). UNSPECIFIED. ISBN 9781509020294
Sudhamani, M. and Rangarajan, L. (2016) Code clone detection based on order and content of control statements. In: 2nd International Conference on Contemporary Computing and Informatics (IC3I). UNSPECIFIED. ISBN 9781509052561
Sheela, T. and Rangarajan, L. (2016) Combination of feature selection methods for the effective classification of microarray gene expression data. In: First International Conference on Recent Trends in Image Processing and Pattern Recognition RTIP2R 2016. UNSPECIFIED. ISBN 9789811048593
Kouser, K. and Rashmi, B. S. and Rangarajan, L. (2016) Entropy Based Feature Selection for Lacunarity Analysis of Position Specific Motif Matrices of Promoter Sequences. In: Proceedings of the International Conference on Informatics and Analytics ICIA-16.
Kouser, K. and Rangarajan, L. (2016) Feature reduced weighted fuzzy binarization for histogram comparison of promoter sequences. In: First International Conference on Recent Trends in Image Processing and Pattern Recognition RTIP2R 2016.
Rangarajan, L. and Chandrashekar, D. S. and Kshitish, K. A. and Abraham, E. M. (2015) Alignment free frequency based distance measures for promoter sequence comparison.
Rangarajan, L. and Nagabhushan, P. (2004) Content driven dimensionality reduction at block level in the design of an efficient classifier for spatial multi spectral images. Pattern Recognition Letters, 25 (16). pp. 1833-1844. ISSN 0167-8655
Rangarajan, L. and Nagabhushan, P. (2004) Dimensionality reduction of multidimensional temporal data through regression. Pattern Recognition Letters, 25 (8). pp. 899-910. ISSN 0167-8655
