K. Chidananda Gowda - researchr alias

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2010

Subspace models for document script and language identificationT. N. Vikram, K. Chidananda Gowda. imst, 20(2):140-148, 2010. [doi]

2008

Symbolic representation of Kannada characters for recognitionT. N. Vikram, K. Chidananda Gowda, Shalini R. Urs. icnsc 2008: 823-826 [doi]

Person Specific Document Retrieval Using Face BiometricsT. N. Vikram, Shalini R. Urs, K. Chidananda Gowda. ICADL 2008: 371-374 [doi]

2007

2 Directional 2 Dimensional Pairwise FLD for Handwritten Kannada Numeral RecognitionK. Chidananda Gowda, T. N. Vikram, Shalini R. Urs. ICADL 2007: 499-501 [doi]

2005

Fuzzy-Symbolic Analysis for Classification of Symbolic DataM. S. Dinesh, K. Chidananda Gowda, P. Nagabhushan. premi 2005: 338-343 [doi]

2000

A New Nonhierarchical Clustering Procedure for Symbolic ObjectsT. V. Ravi, K. Chidananda Gowda. ideal 2000: 35-41 [doi]

1999

An ISODATA clustering procedure for symbolic objects using a distributed genetic algorithmT. V. Ravi, K. Chidananda Gowda. prl, 20(7):659-666, 1999. [doi]

Clustering of symbolic objects using gravitational approachT. V. Ravi, K. Chidananda Gowda. tsmc, 29(6):888-894, 1999.

1998

A New Dissimilarity Measure to Improve the GA PerformanceG. Raghavendra Rao, K. Chidananda Gowda. ieaaie 1998: 487-492

1997

Classification of symbolic data using fuzzy set theoryM. S. Dinesh, K. Chidananda Gowda, T. V. Ravi. kes 1997: 383-386 [doi]

1996

A number theory based image codingS. Jagannathan, P. Nagabhushan, K. Chidananda Gowda, R. K. Rajangam. anziis 1996: 147-150 [doi]

A framework to estimate natural classes in remotely sensed dataH. N. S. Prakash, P. Nagabhushan, K. Chidananda Gowda. anziis 1996: 264-266 [doi]

A neural network based expert system model for conflict resolutionN. V. Subba Reddy, P. Nagabhushan, K. Chidananda Gowda. anziis 1996: 229-232 [doi]

1995

Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarityK. Chidananda Gowda, T. V. Ravi. prl, 16(6):647-652, 1995. [doi]

Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarityK. Chidananda Gowda, T. V. Ravi. PR, 28(8):1277-1282, 1995. [doi]

Dimensionality reduction of symbolic dataP. Nagabhushan, K. Chidananda Gowda, Edwin Diday. prl, 16(2):219-223, 1995. [doi]

1992

Symbolic clustering using a new similarity measureK. Chidananda Gowda, Edwin Diday. tsmc, 22(2):368-378, 1992. [doi]

Dimensionality reduction using geometric projections: A new techniqueD. Sudhanva, K. Chidananda Gowda. PR, 25(8):809-817, 1992. [doi]

1991

Unsupervised learning through symbolic clusteringK. Chidananda Gowda, Edwin Diday. prl, 12(5):259-264, 1991.

Symbolic clustering using a new dissimilarity measureK. Chidananda Gowda, Edwin Diday. PR, 24(6):567-578, 1991. [doi]

1984

A feature reduction and unsupervised classification algorithm for multispectral dataK. Chidananda Gowda. PR, 17(6):667-676, 1984. [doi]

Cluster detection in a collection of collinear line segmentsK. Chidananda Gowda. PR, 17(2):221-237, 1984. [doi]

1983

Cluster detection in a collection of collinear line segmentsK. Chidananda Gowda. PR, 16(3):357, 1983.

1979

The condensed nearest neighbor rule using the concept of mutual nearest neighborhood (Corresp.)K. Chidananda Gowda, G. Krishna. TIT, 25(4):488-490, 1979. [doi]

Learning with a mutualistic teacherK. Chidananda Gowda, G. Krishna. PR, 11(5-6):383-390, 1979. [doi]

1978

Agglomerative clustering using the concept of mutual nearest neighbourhoodK. Chidananda Gowda, G. Krishna. PR, 10(2):105-112, 1978. [doi]

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