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Manjunath, Geetha and Murty, Narasimha M and Sitaram, Dinkar (2013) Combining heterogeneous classifiers for relational databases. In: Pattern Recognition, 46 (1). pp. 317-324.

Reddy, Sathish I and Shevade, Shirish and Murty, MN (2011) A fast quasi-Newton method for semi-supervised SVM. In: Pattern Recognition, 44 (10-11,). pp. 2305-2313.

Chitta, Radha and Murty, M Narasimha (2010) Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification. In: Pattern Recognition, 43 (3). pp. 796-804.

Babua, Ravindra T and Murty, Narasimha M and Agrawal, VK (2007) Classification of run-length encoded binary data. In: Pattern Recognition, 40 (1). 321 -323.

Vijaya, PA and Murty, Narasimha M and Subramanian, DK (2006) Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification. In: Pattern Recognition, 39 (12). pp. 2344-2355.

Agrawal, Monu and Gupta, Neha and Shreelekshmi, R and Murty, Narasimha M (2005) Efficient pattern synthesis for nearest neighbour classifier. In: Pattern Recognition, 38 (11). pp. 2200-2203.

Asharaf, S and Shevade, SK and Murty, Narasimha M (2005) Rough support vector clustering. In: Pattern Recognition, 38 (10). pp. 1779-1783.

Viswanath, P and Murty, Narasimha M and Bhatnagar, Shalabh (2005) Overlap pattern synthesis with an efficient nearest neighbor classifier. In: Pattern Recognition, 38 (8). pp. 1187-1195.

Asharaf, S and Murthy, Narasimha M (2003) An adaptive rough fuzzy single pass algorithm for clustering large data sets. In: Pattern Recognition, 36 (12). pp. 3015-3018.

Venkatesh, YV and Raja, Kumar S (2003) On the classification of multispectral satellite images using the multilayer perceptron. In: Pattern Recognition, 36 (9). pp. 2161-2175.

Sushella, Devi V and Murty, Narasimha M (2002) An Incremental Prototype Set Building Technique. In: Pattern Recognition, 35 (2). pp. 505-513.

Koha, Lian H and Ranganath, Surendra and Venkateshb, YV (2002) An integrated automatic face detection and recognition system. In: Pattern Recognition, 35 (6). pp. 1259-1273.

Ananthanarayana, VS and Murty, Narasimha M and Subramanian, DK (2001) Efficient clustering of large data sets. In: Pattern Recognition, 34 (12). pp. 2561-2563.

Ananthanarayanan, VS and Murty, MN and Subramanian, DK (2001) An incremental data mining algorithm for compact realization of prototypes. In: Pattern Recognition, 34 (11). pp. 2249-2251.

Murthy, KRK and Keerthi, SS and Murty, MN (2001) Rule prepending and post-pruning approach to incremental learning of decision lists. In: Pattern Recognition, 34 (8). pp. 1697-1699.

Saradhi, Vijaya V and Murty, Narasimha M (2001) Bootstrapping for efficient handwritten digit recognition. In: Pattern Recognition, 34 (5). pp. 1047-1056.

Ananthanarayanan, VS and Murty, Narasimha M and Subramanian, DK (2001) Multi-dimensional semantic clustering of large databases for association rule mining. In: Pattern Recognition, 34 (4). pp. 939-941.

Babu, Ravindra T and Murty, Narasimha M (2001) Comparison of genetic algorithm based prototype selection schemes. In: Pattern Recognition, 34 (2). pp. 523-525.

Ramasubramanian, D and Venkatesh, YV (2001) Encoding and recognition of faces based on the human visual model and DCT. In: Pattern Recognition, 34 (12). pp. 2447-2458.

Rishikesh, N and Venkatesh, YV (2001) Shape recognition using an invariant pulse code and a hierarchical, competitive neural network. In: Pattern Recognition, 24 (4). pp. 841-853.

Vishwanathan, SVN and Murty, Narasimha M (2000) Kohonen's SOM with cache. In: Pattern Recognition, 33 (11). pp. 1927-1929.

Venkatesh, YV and Rishikesh, N (2000) Self-organizing neural networks based on spatial isomorphism for active contour modeling. In: Pattern Recognition, 33 (7). pp. 1239-1250.

Ghosh, D and Shivaprasad, AP (1999) An analytic approach for generation of artificial hand-printed character database from given generative models. In: Pattern Recognition, 32 (6). pp. 907-920.

Ramesh, VE and Murty, Narasimha M (1999) Off-line signature verification using genetically optimized weighted features. In: Pattern Recognition, 32 (2). pp. 217-233.

Prakash, M and Murty, Narasimha M (1997) Hebbian learning subspace method: A new approach. In: Pattern Recognition, 30 (1). pp. 141-149.

Mukundan, R and Ramakrishnan, KR (1995) Fast computation of Legendre and Zernike moments. In: Pattern Recognition, 28 (9). pp. 1433-1442.

Vairy, Madhu and Venkatesh, YV (1995) Deblurring Gaussian Blur using a Wavelet Array Transform. In: Pattern Recognition, 28 (7). pp. 965-976.

Babu, Phanendra G and Murty, Narasimha M (1994) Clustering with evolution strategies. In: Pattern Recognition, 27 (2). pp. 321-329.

Sridhar, V and Murty, Narasimha M (1991) Clustering Algorithms for Library Comparison. In: Pattern Recognition, 24 (9). pp. 815-823.

Bhandaru, Malini K and Murty, Narasimha M (1991) Incremental Learning from Examples Using HC-Expressions. In: Pattern Recognition, 24 (4). pp. 273-282.

Chitoor, Suresh S and Murty, Narasimha M and Bhandaru, Malini K (1991) A New Data Structure HC-Expression for Learning from Examples. In: Pattern Recognition, 24 (1). pp. 19-29.

Govindan, VK and Shivaprasad, AP (1990) Character recognition — A review. In: Pattern Recognition, 23 (7). pp. 671-683.

Srivastava, Anurag and Murty, MN (1990) A comparison between conceptual clustering and conventional clustering. In: Pattern Recognition, 23 (9). pp. 975-981.

Shekar, B and Murty, Narasimha M and Krishna, G (1990) A knowledge-based approach to pattern generation. In: Pattern Recognition, 23 (11). pp. 1299-1306.

Wang, Wu and Sitharama, Iyengar S and Patnaik, LM (1989) Memory-based reasoning approach for pattern recognition of binary images. In: Pattern Recognition, 22 (5). pp. 505-518.

Shekar, B and Narasimha, Murty M and Krishna, G (1989) Structural aspects of semantic-directed clusters. In: Pattern Recognition, 22 (1). pp. 65-74.

Govindan, VK and Shivaprasad, AP (1987) A pattern adaptive thinning algorithm. In: Pattern Recognition, 20 (6). pp. 623-637.

Murty, Narasimha M and Krishna, G (1980) A computationally efficient technique for data-clustering. In: Pattern Recognition, 12 (3). pp. 153-158.

Gowda, K Chidananda and Krishna, G (1979) Learning with a mutualistic teacher. In: Pattern Recognition, 11 (5-6). pp. 383-390.

Warnekar, CS and Krishna, G (1979) An algorithm to detect linearly separable clusters of binary patterns. In: Pattern Recognition, 11 (2). pp. 109-114.

Warnekar, CS and Krishna, G (1979) An algorithm to detect linearly separable clusters of binary patterns. In: Pattern Recognition, 11 (2). pp. 109-113.

Warnekar, CS and Krishna, G (1979) A heuristic clustering algorithm using union of overlapping pattern-cells. In: Pattern Recognition, 11 (2). pp. 85-93.

Gowda , K Chidananda and Krishnan, Girish (1978) Agglomerative clustering using the concept of mutual nearest neighbourhood. In: Pattern Recognition, 10 (2). 105-112 .

Rao, T C Malleswara (1976) Feature extraction for fingerprint classification. In: Pattern Recognition, 8 (3). pp. 181-192.