K. Chidananda Gowda

26 papers C 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2010 J jnl
Subspace models for document script and language identification.
Int. J. Imaging Syst. Technol.
T. N. Vikram, K. Chidananda Gowda
2008 — conf
Person Specific Document Retrieval Using Face Biometrics.
ICADL
T. N. Vikram, Shalini R. Urs, K. Chidananda Gowda
2008 — conf
Symbolic representation of Kannada characters for recognition.
ICNSC
T. N. Vikram, K. Chidananda Gowda, Shalini R. Urs
2007 — conf
2 Directional 2 Dimensional Pairwise FLD for Handwritten Kannada Numeral Recognition.
ICADL
K. Chidananda Gowda, T. N. Vikram, Shalini R. Urs
2005 — conf
Fuzzy-Symbolic Analysis for Classification of Symbolic Data.
PReMI
M. S. Dinesh, K. Chidananda Gowda, P. Nagabhushan
2000 C conf
A New Nonhierarchical Clustering Procedure for Symbolic Objects.
IDEAL
T. V. Ravi, K. Chidananda Gowda
1999 J jnl
An ISODATA clustering procedure for symbolic objects using a distributed genetic algorithm.
Pattern Recognit. Lett.
T. V. Ravi, K. Chidananda Gowda
1999 J jnl
Clustering of symbolic objects using gravitational approach.
IEEE Trans. Syst. Man Cybern. Part B
T. V. Ravi, K. Chidananda Gowda
1998 — conf
A New Dissimilarity Measure to Improve the GA Performance.
IEA/AIE (Vol. 1)
G. Raghavendra Rao, K. Chidananda Gowda
1997 — conf
Classification of symbolic data using fuzzy set theory.
KES (2)
M. S. Dinesh, K. Chidananda Gowda, T. V. Ravi
1996 — conf
A framework to estimate natural classes in remotely sensed data.
ANZIIS
H. N. S. Prakash, P. Nagabhushan, K. Chidananda Gowda
1996 — conf
A neural network based expert system model for conflict resolution.
ANZIIS
N. V. Subba Reddy, P. Nagabhushan, K. Chidananda Gowda
1996 — conf
A number theory based image coding.
ANZIIS
S. Jagannathan, P. Nagabhushan, K. Chidananda Gowda, R. K. Rajangam
1995 J jnl
Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity.
Pattern Recognit. Lett.
K. Chidananda Gowda, T. V. Ravi
1995 J jnl
Dimensionality reduction of symbolic data.
Pattern Recognit. Lett.
P. Nagabhushan, K. Chidananda Gowda, Edwin Diday
1995 J jnl
Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarity.
Pattern Recognit.
K. Chidananda Gowda, T. V. Ravi
1992 J jnl
Dimensionality reduction using geometric projections: A new technique.
Pattern Recognit.
D. Sudhanva, K. Chidananda Gowda
1992 J jnl
Symbolic clustering using a new similarity measure.
IEEE Trans. Syst. Man Cybern.
K. Chidananda Gowda, Edwin Diday
1991 J jnl
Symbolic clustering using a new dissimilarity measure.
Pattern Recognit.
K. Chidananda Gowda, Edwin Diday
1991 J jnl
Unsupervised learning through symbolic clustering.
Pattern Recognit. Lett.
K. Chidananda Gowda, Edwin Diday
1984 J jnl
A feature reduction and unsupervised classification algorithm for multispectral data.
Pattern Recognit.
K. Chidananda Gowda
1984 J jnl
Cluster detection in a collection of collinear line segments.
Pattern Recognit.
K. Chidananda Gowda
1983 J jnl
Cluster detection in a collection of collinear line segments.
Pattern Recognit.
K. Chidananda Gowda
1979 J jnl
Learning with a mutualistic teacher.
Pattern Recognit.
K. Chidananda Gowda, G. Krishna
1979 J jnl
The condensed nearest neighbor rule using the concept of mutual nearest neighborhood (Corresp.).
IEEE Trans. Inf. Theory
K. Chidananda Gowda, G. Krishna
1978 J jnl
Agglomerative clustering using the concept of mutual nearest neighbourhood.
Pattern Recognit.
K. Chidananda Gowda, G. Krishna