Items where Division is "Department of > Computer Science" and Year is 2004

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Number of items: 24.

Article

Guru, D. S. and Dinesh, R. (2004) Non-parametric adaptive region of support useful for corner detection: a novel approach. PATTERN RECOGNITION, 37 (1). pp. 165-168. ISSN 0031-3203

Guru, D. S. and Punitha, P. (2004) An invariant scheme for exact match retrieval of symbolic images based upon principal component analysis. PATTERN RECOGNITION LETTERS, 25 (1). pp. 73-86.

Guru, D. S. and Shekar, B. H. and Nagabhushan, P. (2004) A simple and robust line detection algorithm based on small eigenvalue analysis. PATTERN RECOGNITION LETTERS, 25 (1). pp. 1-13. ISSN DOI:10.1016/j.patrec.2003.08.007

Kumar, G. H. and Shivakumara, P. and Guru, D. S. and Nagabhushan, P. (2004) Document image mosaicing: A novel approach. sadhana academy proceedings in engineering sciences, 29 (3). pp. 329-341.

Rangarajan, L. and Nagabhushan, P. (2004) Content driven dimensionality reduction at block level in the design of an efficient classifier for spatial multi spectral images. Pattern Recognition Letters, 25 (16). pp. 1833-1844. ISSN 0167-8655

Rangarajan, L. and Nagabhushan, P. (2004) Dimensionality reduction of multidimensional temporal data through regression. Pattern Recognition Letters, 25 (8). pp. 899-910. ISSN 0167-8655

Conference or Workshop Item

Dinesh, R. and Guru, D. S. (2004) Detection and labeling of corner points useful for transformation of 2D objects into symbolic images. In: Conference of Society of Statistics, Computer and Applications, 22-24, December, New Delhi.

Dinesh, R. and Guru, D. S. (2004) Mathematical morphology based corner detection scheme: a non-parametric approach. In: Fourth Indian Conference on Computer Vision, Graphics and Image Processing ICVGIP-2004, 16-18, December 2004, Kolkata.

Dinesh, R. and Guru, D. S. (2004) Recognition of partially occluded objects using B-tree index structure: an efficient and robust approach. In: Fourth Indian Conference on Computer Vision, Graphics and Image Processing ICVGIP-2004, 16-18, December 2004, Kolkata.

Guru, D. S. and Dinesh, R. (2004) Determination of adaptive corner non-symmetric region of support useful for dominant point detection: a nonparametric approach. In: Twelfth International conference on Advanced Computing and Communication ADCOM, 15-18, December 2004, Ahmedabad, Gujarat, India.

Guru, D. S. and Dinesh, R. (2004) Finite automata model for determination of adaptive region of support useful for dominant point detection. In: Eighth World Multi-Conference on Systemics, Cybernatics and Informatics, 18-21, July 2004, Orlando, Florida, USA.

Guru, D. S. and Dinesh, R. and Nagabhushan, P. (2004) Boundary based corner detection and localization using new cornerity index: a robust approach. In: First Canadian conference on Computer and Robot Vision (CRV’04), 17-19, May 2004, Ontario, Canada.

Guru, D. S. and Nagabhushan, P. and Shekar, B. H. (2004) Tri-line grouping and principal component analysis for object recognition: an integrated approach. In: International Conference on Systemics, Cybernatics and Informatics, February 2004, Hyderabad.

Guru, D. S. and Punitha, P. (2004) An invariant scheme for exact match retrieval of symbolic images: direction of reference based approach. In: Twelfth International conference on Advanced Computing and Communication ADCOM, 15-18, December 2004, Ahmedabad, Gujarat, India.

Guru, D. S. and Punitha, P. and Mahesh, S. (2004) Skew estimation in digitized documents: a novel approach. In: Fourth Indian Conference on Computer Vision, Graphics and Image Processing ICVGIP-2004,, 16-18, December 2004, Kolkata.

Kirangi, B. B. and Guru, D. S. (2004) Unconventional multivalued dissimilarity measure and dimensionality reduction useful for classification of symbolic data. In: Conference of Society of Statistics, Computer and Applications, 22-24, December, New Delhi.

Punitha, P. and Guru, D. S. (2004) Similarity retrieval of symbolic images with multiple instances of iconic objects: a novel approach. In: Fourth Indian Conference on Computer Vision, Graphics and Image Processing ICVGIP-2004, 16-18, December 2004, Kolkata.

Shivakumara, P. and Hemantha Kumar, G. and Guru, D. S. and Nagabhushan, P. (2004) Accurate skew detection algorithm based on principal component analysis for binary document images. In: Twelfth International Conference on Advanced Computing and Communication – ADCOM 2004, 15-18, December 2004, Ahmedabad, Gujarat, India,.

Shivakumara, P. and Hemantha Kumar, G. and Guru, D. S. and Nagabhushan, P. (2004) Document image mosaicing: an approach based on Zernike moments. In: sixth International Conference on Cognitive Systems – ICCS 2004,, 14-15, December 2004, New Delhi, India.

Shivakumara, P. and Hemantha Kumar, G. and Guru, D. S. and Nagabhushan, P. (2004) Invariant approach for south indian script lines useful for document image mosaicing. In: Second National Workshop on Computer Vision, Graphics and Image Processing – WCVGIP – 04, 21-22, February 2004, MITS, Gwalior, Madhya Pradesh, India..

Shivakumara, P. and Hemantha Kumar, G. and Guru, D. S. and Nagabhushan, P. (2004) Mosaicing of multiple script images: novel approach based on region growing. In: International Conference on Recent Trends and New Directions of Research in Cybernetics and Systems Theory, 1-3,January 2004, Guwahati, India.

Shivakumara, P. and Hemantha Kumar, G. and Guru, D. S. and Nagabhushan, P. (2004) Sliding window based technique for document image mosaicing. In: National Conference on IT: Pathway for Transformation of Society, 13 -14, March 2004, Amritsar, Punjab, India.

Shivakumara, P. and Hemantha Kumar, G. and Guru, D. S. and Nagabhushan, P. (2004) A new gradient vector based skew estimation technique for binary document images. In: Fifth International Conference on Knowledge Based Computer Systems, KBCS-2004, 19-22, December 2004, Hyderabad, India.

Shivakumara, P. and Kumar, G. H. and Guru, D. S. and Nagabhushan, P. (2004) An efficient skew estimation technique for binary document images based on boundary growing and linear regression analysis. In: NEURAL INFORMATION PROCESSING.

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