| 2010 | ||
|---|---|---|
| j15 | T. N. Vikram, K. Chidananda Gowda: Subspace models for document script and language identification. Int. J. Imaging Systems and Technology 20(2): 140-148 (2010) | |
| 2008 | ||
| c10 | T. N. Vikram, Shalini R. Urs, K. Chidananda Gowda: Person Specific Document Retrieval Using Face Biometrics. ICADL 2008: 371-374 | |
| c9 | T. N. Vikram, K. Chidananda Gowda, Shalini R. Urs: Symbolic representation of Kannada characters for recognition. ICNSC 2008: 823-826 | |
| 2007 | ||
| c8 | K. Chidananda Gowda, T. N. Vikram, Shalini R. Urs: 2 Directional 2 Dimensional Pairwise FLD for Handwritten Kannada Numeral Recognition. ICADL 2007: 499-501 | |
| 2005 | ||
| c7 | M. S. Dinesh, K. Chidananda Gowda, P. Nagabhushan: Fuzzy-Symbolic Analysis for Classification of Symbolic Data. PReMI 2005: 338-343 | |
| 2000 | ||
| c6 | T. V. Ravi, K. Chidananda Gowda: A New Nonhierarchical Clustering Procedure for Symbolic Objects. IDEAL 2000: 35-41 | |
| 1999 | ||
| j14 | T. V. Ravi, K. Chidananda Gowda: An ISODATA clustering procedure for symbolic objects using a distributed genetic algorithm. Pattern Recognition Letters 20(7): 659-666 (1999) | |
| j13 | T. V. Ravi, K. Chidananda Gowda: Clustering of symbolic objects using gravitational approach. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(6): 888-894 (1999) | |
| 1998 | ||
| c5 | G. Raghavendra Rao, K. Chidananda Gowda: A New Dissimilarity Measure to Improve the GA Performance. IEA/AIE (Vol. 1) 1998: 487-492 | |
| 1997 | ||
| c4 | M. S. Dinesh, K. Chidananda Gowda, T. V. Ravi: Classification of symbolic data using fuzzy set theory. KES (2) 1997: 383-386 | |
| 1996 | ||
| c3 | S. Jagannathan, P. Nagabhushan, K. Chidananda Gowda, R. K. Rajangam: A number theory based image coding. ANZIIS 1996: 147-150 | |
| c2 | N. V. Subba Reddy, P. Nagabhushan, K. Chidananda Gowda: A neural network based expert system model for conflict resolution. ANZIIS 1996: 229-232 | |
| c1 | H. N. S. Prakash, P. Nagabhushan, K. Chidananda Gowda: A framework to estimate natural classes in remotely sensed data. ANZIIS 1996: 264-266 | |
| 1995 | ||
| j12 | K. Chidananda Gowda, T. V. Ravi: Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarity. Pattern Recognition 28(8): 1277-1282 (1995) | |
| j11 | P. Nagabhushan, K. Chidananda Gowda, Edwin Diday: Dimensionality reduction of symbolic data. Pattern Recognition Letters 16(2): 219-223 (1995) | |
| j10 | K. Chidananda Gowda, T. V. Ravi: Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity. Pattern Recognition Letters 16(6): 647-652 (1995) | |
| 1992 | ||
| j9 | D. Sudhanva, K. Chidananda Gowda: Dimensionality reduction using geometric projections: A new technique. Pattern Recognition 25(8): 809-817 (1992) | |
| j8 | K. Chidananda Gowda, Edwin Diday: Symbolic clustering using a new similarity measure. IEEE Transactions on Systems, Man, and Cybernetics 22(2): 368-378 (1992) | |
| 1991 | ||
| j7 | K. Chidananda Gowda, Edwin Diday: Symbolic clustering using a new dissimilarity measure. Pattern Recognition 24(6): 567-578 (1991) | |
| j6 | K. Chidananda Gowda, Edwin Diday: Unsupervised learning through symbolic clustering. Pattern Recognition Letters 12(5): 259-264 (1991) | |
| 1984 | ||
| j5 | K. Chidananda Gowda: Cluster detection in a collection of collinear line segments. Pattern Recognition 17(2): 221-237 (1984) | |
| j4 | K. Chidananda Gowda: A feature reduction and unsupervised classification algorithm for multispectral data. Pattern Recognition 17(6): 667-676 (1984) | |
| 1983 | ||
| j3 | K. Chidananda Gowda: Cluster detection in a collection of collinear line segments. Pattern Recognition 16(3): 357 (1983) | |
| 1979 | ||
| j2 | K. Chidananda Gowda, G. Krishna: Learning with a mutualistic teacher. Pattern Recognition 11(5-6): 383-390 (1979) | |
| 1978 | ||
| j1 | K. Chidananda Gowda, G. Krishna: Agglomerative clustering using the concept of mutual nearest neighbourhood. Pattern Recognition 10(2): 105-112 (1978) | |
Colors in the list of coauthors
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