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Pambala, AK and Dutta, T and Biswas, S (2021) SML: Semantic meta-learning for few-shot semantic segmentation�. In: Pattern Recognition Letters, 147 . pp. 93-99.
Sabarinathan, R and Banerjee, Nirjhar and Balakrishnan, N and Sekar, K (2010) An algorithm to find distant repeats in a pair of protein sequences. In: Pattern Recognition Letters, 31 (14). pp. 2161-2169.
Pati, Peeta B and Ramakrishnan, AG (2008) Word level multi-script identification. In: Pattern Recognition Letters . (In Press)
Chaudhury, Kunal N and Ramakrishnan, KR (2007) Stability and convergence of the level set method in computer vision. In: Pattern Recognition Letters, 28 (7). pp. 884-893.
Asharaf, S and Murty, Narasimha M and Shevade, SK (2006) Rough set based incremental clustering of interval data. In: Pattern Recognition Letters, 27 (6). pp. 515-519.
Vijaya, PA and Murty, Narasimha M and Subramanian, DK (2004) Leaders-Subleaders: An efficient hierarchical clustering algorithm for large data sets. In: Pattern Recognition Letters, 25 (4). pp. 505-513.
Ananthanarayana, VS and Murty, Narasimha M and Subramanian, DK (2003) Tree structure for efficient data mining using rough sets. In: Pattern Recognition Letters, 24 (6). pp. 851-862.
Rao, Vijay D and Sarma, VVS (2003) A rough–fuzzy approach for retrieval of candidate components for software reuse. In: Pattern Recognition Letters, 24 (6). pp. 875-886.
Babu, Venkatesh R and Anantharaman, B and Ramakrishnan, KR and Srinivasan, SH (2002) Compressed domain action classification using HMM. In: Pattern Recognition Letters, 23 (10). pp. 1203-1213.
Mukundan, R and Ramakrishnan, KR (1996) An iterative solution for object pose parameters using image moments. In: Pattern Recognition Letters, 17 (12). pp. 1279-1284.
Prakash, M and Murty, Narasimha M (1996) Extended subspace methods of pattern recognition. In: Pattern Recognition Letters, 17 (11). pp. 1131-1139.
Prakash, M and Murty, Narasimha M (1995) A genetic approach for selection of (near-) optimal subsets of principal components for discrimination. In: Pattern Recognition Letters, 16 (8). pp. 781-787.
Babu, Phanendra G and Murty, Narasimha M (1995) Optimal thresholding using multi-state stochastic connectionist approach. In: Pattern Recognition Letters, 16 (1). pp. 11-18.
Gopalakrishnan, M and Sridhar, V and Krishnamurthy, H (1995) Some applications of clustering in the design of neural networks. In: Pattern Recognition Letters, 16 (1). pp. 59-65.
Ramdas, V and Sridhar, V and Krishna, G (1994) An effective clustering technique for feature extraction. In: Pattern Recognition Letters, 15 (9). pp. 885-891.
Hiriyannaiah, Harish P and Ramakrishnan, KR (1994) Moments estimation in Radon space. In: Pattern Recognition Letters, 15 (3). pp. 227-234.
Babu, Phanendra G and Murty, Narasimha M (1993) A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm. In: Pattern Recognition Letters, 14 (10). pp. 763-769.
Mukundan, R and Malik, NK and Ramakrishnan, KR (1993) Attitude estimation using moment invariants. In: Pattern Recognition Letters, 14 (3). pp. 199-205.
Govindan, VK and Shivaprasad, AP (1991) Artificial database for character recognition research. In: Pattern Recognition Letters, 12 (10). pp. 645-648.
Sridhar, V and Murty, Narasimha M (1991) A knowledge-based clustering algorithm. In: Pattern Recognition Letters, 12 (9). pp. 511-517.
Choudhury, Sabyasachy and Murty, Narasimha M (1990) A division scheme for constructing minimal spanning trees in coordinate space. In: Pattern Recognition Letters, 11 (6). pp. 385-389.
Choudhury, Sabyasachy and Murty, Narasimha M (1990) A divisive scheme for constructing minimal spanning trees in coordinate space. In: Pattern Recognition Letters, 11 (6). pp. 385-389.
Unnikrishnan, A and Venkatesh, YV and Shankar, P (1987) Distribution of black nodes at various levels in a linear quadtree. In: Pattern Recognition Letters, 6 (5). pp. 341-342.
Shekar, B and Murty, M Narasimha and Krishna, G (1987) A knowledge-based clustering scheme. In: Pattern Recognition Letters, 5 (4). pp. 253-259.
Devi, B. Bharathi and Sarma, VVS (1984) A fuzzy multistage evolutionary (FUME) clustering technique. In: Pattern Recognition Letters, 2 (3). pp. 139-145.
