2009 | ||
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46 | EE | P. Nagabhushan, S. A. Angadi, Basavaraj S. Anami: A soft computing model for mapping incomplete/approximate postal addresses to mail delivery points. Appl. Soft Comput. 9(2): 806-816 (2009) |
2007 | ||
45 | EE | R. Pradeep Kumar, P. Nagabhushan: An Approach Based on Regression Line Features for Low Complexity Content Based Image Retrieval. ICCTA 2007: 600-604 |
44 | B. H. Shekar, G. Thippeswamy, P. Nagabhushan, D. S. Guru: Polar-eigenspace: A Linear Transformation Invariant Model for Appearance Based Object / Face Recognition. IICAI 2007: 575-584 | |
43 | EE | P. Nagabhushan, R. Pradeep Kumar: Histogram PCA. ISNN (2) 2007: 1012-1021 |
42 | EE | T. Vasudev, G. Hemantha Kumar, P. Nagabhushan: Transformation of arc-form-text to linear-form-text suitable for OCR. Pattern Recognition Letters 28(16): 2343-2351 (2007) |
2006 | ||
41 | EE | B. H. Shekar, D. S. Guru, P. Nagabhushan: Object Recognition Through the Principal Component Analysis of Spatial Relationship Amongst Lines. ACCV (1) 2006: 170-179 |
40 | EE | R. Pradeep Kumar, P. Nagabhushan: WaveSim Transform for Multi-channel Signal Data Mining Through Linear Regression PCA . ADMA 2006: 977-984 |
39 | R. Pradeep Kumar, P. Nagabhushan: Time Series as a Point - A Novel Approach for Time Series Cluster Visualization. DMIN 2006: 24-29 | |
38 | EE | P. Nagabhushan, S. A. Angadi, Basavaraj S. Anami: A Fuzzy Symbolic Inference System for Postal Address Component Extraction and Labelling. FSKD 2006: 937-946 |
37 | EE | Nagappa U. Bhajantri, P. Nagabhushan: Camouflage Defect Identification: A Novel Approach. ICIT 2006: 145-148 |
36 | EE | R. Pradeep Kumar, P. Nagabhushan, Ahlame Douzal Chouakria: WaveSim and Adaptive WaveSim Transform for Subsequence Time-Series Clustering. ICIT 2006: 197-202 |
35 | EE | B. V. Dhandra, P. Nagabhushan, Mallikarjun Hangarge, Ravindra Hegadi, V. S. Malemath: Script Identification Based on Morphological Reconstruction in Document Images. ICPR (2) 2006: 950-953 |
34 | EE | B. H. Shekar, D. S. Guru, P. Nagabhushan: Two-Dimensional Optimal Transform for Appearance Based Object Recognition. ICVGIP 2006: 650-661 |
33 | EE | R. Pradeep Kumar, P. Nagabhushan: AB Distance Based Histogram Clustering for Mining Multi-Channel EEG Data Using Wavesim Transform. IEEE ICCI 2006: 467-477 |
32 | P. Nagabhushan, Sahana D. Gowda, R. K. Bharathi: Unconstrained Tight Structure Extraction Using Voronoi Tesselation on Document Images. MLMTA 2006: 134-140 | |
31 | EE | P. Shivakumara, G. Hemantha Kumar, D. S. Guru, P. Nagabhushan: Sliding window based approach for document image mosaicing. Image Vision Comput. 24(1): 94-100 (2006) |
30 | EE | P. Nagabhushan, D. S. Guru, B. H. Shekar: (2D)2 FLD: An efficient approach for appearance based object recognition. Neurocomputing 69(7-9): 934-940 (2006) |
29 | EE | P. Nagabhushan, D. S. Guru, B. H. Shekar: Visual learning and recognition of 3D objects using two-dimensional principal component analysis: A robust and an efficient approach. Pattern Recognition 39(4): 721-725 (2006) |
2005 | ||
28 | B. H. Shekar, D. S. Guru, P. Nagabhushan: Visual Learning and Recognition of 3-D Objects using Two Dimensional Fisher's Linear Discriminant Analysis: A Robust and an Efficient Approach. IICAI 2005: 3207-3218 | |
27 | EE | Lalitha Rangarajan, P. Nagabhushan: Linear Regression for Dimensionality Reduction and Classification of Multi Dimensional Data. PReMI 2005: 193-199 |
26 | EE | M. S. Dinesh, K. Chidananda Gowda, P. Nagabhushan: Fuzzy-Symbolic Analysis for Classification of Symbolic Data. PReMI 2005: 338-343 |
25 | EE | P. Nagabhushan, S. A. Angadi, Basavaraj S. Anami: Symbolic Data Structure for Postal Address Representation and Address Validation Through Symbolic Knowledge Base. PReMI 2005: 388-394 |
24 | EE | P. Nagabhushan, D. S. Guru, B. H. Shekar: Eigen Transformation Based Edge Detector for Gray Images. PReMI 2005: 434-440 |
2004 | ||
23 | EE | D. S. Guru, R. Dinesh, P. Nagabhushan: Boundary Based Corner Detecion and Localization Using New "Cornerity" Index: A Robust Approach. CRV 2004: 417-423 |
22 | EE | P. Shivakumara, G. Hemantha Kumar, D. S. Guru, P. Nagabhushan: An Efficient Skew Estimation Technique for Binary Document Images Based on Boundary Growing and Linear Regression Analysis. ICONIP 2004: 659-665 |
21 | EE | D. S. Guru, B. H. Shekar, P. Nagabhushan: A simple and robust line detection algorithm based on small eigenvalue analysis. Pattern Recognition Letters 25(1): 1-13 (2004) |
20 | EE | D. S. Guru, Bapu B. Kiranagi, P. Nagabhushan: Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns. Pattern Recognition Letters 25(10): 1203-1213 (2004) |
19 | EE | Lalitha Rangarajan, P. Nagabhushan: Content driven dimensionality reduction at block level in the design of an efficient classifier for spatial multi spectral images. Pattern Recognition Letters 25(16): 1833-1844 (2004) |
18 | EE | Lalitha Rangarajan, P. Nagabhushan: Dimensionality reduction of multidimensional temporal data through regression. Pattern Recognition Letters 25(8): 899-910 (2004) |
2003 | ||
17 | EE | P. Shivakumara, G. Hemantha Kumar, D. S. Guru, P. Nagabhushan: Fourier Transform Based Column-Block and Row-Block Matching Procedure for Document Image Mosaicing. WILF 2003: 240-254 |
16 | EE | D. S. Guru, P. Punitha, P. Nagabhushan: Archival and retrieval of symbolic images: An invariant scheme based on triangular spatial relationship. Pattern Recognition Letters 24(14): 2397-2408 (2003) |
2002 | ||
15 | N. N. R. Ranga Suri, Dipti Deodhare, P. Nagabhushan: Parallel Levenberg-Marquardt-Based Neural Network Training on Linux Clusters - A Case Study. ICVGIP 2002 | |
14 | EE | P. Nagabhushan, Basavaraj S. Anami, D. S. Guru: Dictionary Supported Generation of English Text from Pitman Shorthand Scripted Phonetic Text. Language Engineering Conference 2002: 33 |
2001 | ||
13 | EE | P. Nagabhushan, S. Murali: Pitman Shorthand Inspired Model for Plain Text Compression. ICDAR 2001: 322- |
12 | P. Nagabhushan, M. M. Manohara Pai: Cognition of free space for planning the shortest path: A framed free space approach. Pattern Recognition Letters 22(9): 971-982 (2001) | |
11 | D. S. Guru, P. Nagabhushan: Triangular spatial relationship: a new approach for spatial knowledge representation. Pattern Recognition Letters 22(9): 999-1006 (2001) | |
2000 | ||
10 | EE | P. Nagabhushan, Basavaraj S. Anami: Handling Diphtong and Triphone Sysmbols: Useful in Automatic English Text Generation from Pitman Shorthand Language Document. AIMSA 2000: 252-260 |
9 | EE | P. Nagabhushan, D. S. Guru: Incremental circle transform and eigenvalue analysis for object recognition: an integrated approach. Pattern Recognition Letters 21(11): 989-998 (2000) |
1999 | ||
8 | EE | P. Nagabhushan, Radhika M. Pai: Modified region decomposition method and optimal depth decision tree in the recognition of non-uniform sized characters - An experimentation with Kannada characters. Pattern Recognition Letters 20(14): 1467-1475 (1999) |
1998 | ||
7 | EE | N. V. Subba Reddy, P. Nagabhushan: A three-dimensional neural network model for unconstrained handwritten numeral recognition: a new approach. Pattern Recognition 31(5): 511-516 (1998) |
6 | EE | N. V. Subba Reddy, P. Nagabhushan: A connectionist expert system model for conflict resolution in unconstrained handwritten numeral recognition. Pattern Recognition Letters 19(2): 161-169 (1998) |
1996 | ||
5 | EE | S. Jagannathan, P. Nagabhushan, K. Chidananda Gowda, R. K. Rajangam: A number theory based image coding. ANZIIS 1996: 147-150 |
4 | EE | N. V. Subba Reddy, P. Nagabhushan, K. Chidananda Gowda: A neural network based expert system model for conflict resolution. ANZIIS 1996: 229-232 |
3 | EE | H. N. S. Prakash, P. Nagabhushan, K. Chidananda Gowda: A framework to estimate natural classes in remotely sensed data. ANZIIS 1996: 264-266 |
2 | EE | N. V. Subba Reddy, P. Nagabhushan: A Neural Network Based Multiple Expert System Model for Conflict Resolution. MVA 1996: 494-497 |
1995 | ||
1 | EE | P. Nagabhushan, K. Chidananda Gowda, Edwin Diday: Dimensionality reduction of symbolic data. Pattern Recognition Letters 16(2): 219-223 (1995) |