2009 |
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) |