P. Nagabhushan

发表

S. Mirkamali, P. Nagabhushan, 2015, 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP).

Improved detection and identification approach in tomato leaf disease using transformation and combination of transfer learning features

P. Nagabhushan, Alain B. Djimeli-Tsajio, Noulamo Thierry, 2022, Journal of Plant Diseases and Protection.

A Novel Technique for Simultaneous Encryption of Multiple Images Using 3 D Chaotic Permutation

P. Nagabhushan, P. Jagadeesh, 2015 .

A Novel Image Scrambling Technique Based On Information Entropy And Quad Tree Decomposition

P. Nagabhushan, Prabhudev Jagadeesh, R. Pradeep Kumar, 2013 .

A Novel Image Sc rambling Technique Based On Informa tion Entropy And Qu ad Tree D ecomposition

P. Nagabhushan, P. Jagadeesh, R. P. Kumar, 2013 .

A Hybrid Method for Text Extraction from Mosaiced Image of Text Dominant Video

Vimuktha Evangeleen Jathanna, P. Nagabhushan, 2016 .

Symbolic Data Analysis for Image Processing

P. Nagabhushan, K. Chidananda Gowda, H. N. Srikanta Prakash, 2000 .

Unconstrained Handwritten Text-line Segmentation Using Morphological Operation and Thinning Algorithm

Alireza Alaei, P. Nagabhushan, P. Nagabhushan, 2009, IICAI.

Analysis of IRS 1B LISS-II image using fuzzy and symbolic approach

P. Nagabhushan, M. Dinesh, K. ChidanandaGowda, 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

Learning target class eigen subspace (LTC-ES) via eigen knowledge grid

P. Nagabhushan, S. K. Sonbhadra, Sonali Agarwal, 2022, Turkish J. Electr. Eng. Comput. Sci..

Generation of IFS code for unstructured object Categorization

J. Amudha, Krishnan K Raghesh, P Nagabhushan, 2005 .

A new method for pattern classification through dimensionality reduction based on regression analysis

P. Nagabhushan, L. Rangarajan, 2000 .

Target-class guided sample length reduction and training set selection of univariate time-series

P. Nagabhushan, S. K. Sonbhadra, Sonali Agarwal, 2022, Applied Intelligence.

A review on document image analysis techniques directly in the compressed domain

B. Chaudhuri, P. Nagabhushan, M. Javed, 2018, Artificial Intelligence Review.

Depth-wise segmentation of 3D images using dense depth maps

P. Nagabhushan, S. S. Mirkamali, S. Mirkamali, 2013 .

Automatic Segmentation and Breast Density Estimation for Cancer Detection Using an Efficient Watershed Algorithm

Mohammed Javed, P. Nagabhushan, Tejas Nayak, 2018, Data Analytics and Learning.

Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review pdf

Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, 2020, ArXiv.

Entry-Exit Video Surveillance: A Benchmark Dataset

P. Nagabhushan, V. Vinay Kumar, S. N. Roopa, 2018, CVIP.

Gesture recognition by learning local motion signatures using smartphones

Sonali Agarwal, Sanjay Kumar Sonbhadra, Prachi Agarwal, 2019, 2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).

Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns

P. Nagabhushan, D. S. Guru, Bapu B. Kiranagi, 2004, Pattern Recognit. Lett..

Depth-wise image inpainting

P. Nagabhushan, S. S. Mirkamali, S. Mirkamali, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images

Sonali Agarwal, P. Nagabhushan, S. K. Sonbhadra, 2020, 2010.08115.

Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM pdf

Sanjay Kumar Sonbhadra, P. Nagabhushan, Sonali Agarwal, 2020, ArXiv.

One-class support vector classifiers: A survey

Sonali Agarwal, Shamshe Alam, Sanjay Kumar Sonbhadra, 2020, Knowl. Based Syst..

Target specific mining of COVID-19 scholarly articles using one-class approach

Sonali Agarwal, Sanjay Kumar Sonbhadra, P. Nagabhushan, 2020, Chaos, Solitons & Fractals.

Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD)

Sonali Agarwal, Shamshe Alam, Sanjay Kumar Sonbhadra, 2020, Pattern Recognit. Lett..

Hexa-Directional Feature Extraction for Target-Specific Handwritten Digit Recognition

Sonali Agarwal, Sanjay Kumar Sonbhadra, P. Nagabhushan, 2019 .

Foreground text segmentation in complex color document images using Gabor filters

P. Nagabhushan, Shivananda Nirmala, P. Nagabhushan, 2012, Signal Image Video Process..

Retinex Algorithm with Reduced Halo Artifacts

Jharna Majumdar, P. Nagabhushan, Mili Nandi, 2011 .

Fuzzy-Symbolic Analysis for Classification of Symbolic Data

P. Nagabhushan, K. Chidananda Gowda, M. S. Dinesh, 2005, PReMI.

A Fuzzy Symbolic Inference System for Postal Address Component Extraction and Labelling

P. Nagabhushan, Basavaraj S. Anami, S. A. Angadi, 2006, FSKD.

Symbolic Data Structure for Postal Address Representation and Address Validation Through Symbolic Knowledge Base

P. Nagabhushan, Basavaraj S. Anami, S. A. Angadi, 2005, PReMI.

A Knowledge based Fast PIN code Validation System for Dispatch Sorting of Postal Mail 1

P. Nagabhushan, S. A. Angadi, B. S. Anami, 2003 .

FastSS: Fast and smooth segmentation of JPEG compressed printed text documents using DC and AC signal analysis

P. Nagabhushan, B. Rajesh, M. Javed, 2022, Multimedia Tools and Applications.

Automatic tracing and extraction of text-line and word segments directly in JPEG compressed document images

P. Nagabhushan, Mohammed Javed, Bulla Rajesh, 2020, IET Image Process..

Enhancement of variably illuminated document images through noise-induced stochastic resonance

Mohammed Javed, Tryambak Bhattacharjee, Panduranga Nagabhushan, 2019, IET Image Process..

A review on document image analysis techniques directly in the compressed domain

Bidyut Baran Chaudhuri, Mohammed Javed, P. Nagabhushan, 2017, Artificial Intelligence Review.

Archival and retrieval of symbolic images: An invariant scheme based on triangular spatial relationship

P. Nagabhushan, D. S. Guru, P. Punitha, 2003, Pattern Recognit. Lett..

Mathematical approach to understand the kinetics of α-synuclein aggregation: Relevance to Parkinson's disease

P. Nagabhushan, P. Bharathi, K. S. Jagannatha Rao, 2008, Comput. Biol. Medicine.

An algorithmic approach to understand trace elemental homeostasis in serum samples of Parkinson disease

P. Nagabhushan, K. S. Jagannatha Rao, M. B. Sanjay Pande, 2005, Comput. Biol. Medicine.

Dataset and Ground Truth for Handwritten Text in Four Different Scripts

Alireza Alaei, Umapada Pal, P. Nagabhushan, 2012, Int. J. Pattern Recognit. Artif. Intell..

A New Dataset of Persian Handwritten Documents and Its Segmentation

Alireza Alaei, Umapada Pal, P. Nagabhushan, 2011, 2011 7th Iranian Conference on Machine Vision and Image Processing.

A simple and robust line detection algorithm based on small eigenvalue analysis

P. Nagabhushan, D. S. Guru, B. H. Shekar, 2004, Pattern Recognit. Lett..

Camouflage Defect Identification: A Novel Approach

P. Nagabhushan, Nagappa U. Bhajantri, P. Nagabhushan, 2006, 9th International Conference on Information Technology (ICIT'06).

Automatic Removal of Handwritten Annotations from Between-text-lines and Inside-text-line Regions of a Printed Text Document

Mohammed Javed, P. Nagabhushan, Rachida Hannane, 2015 .

Segmentation of offline handwritten Arabic text

Umapada Pal, P. Nagabhushan, Hashem Ghaleb, 2017, 2017 1st International Workshop on Arabic Script Analysis and Recognition (ASAR).

Graph Modeling based Segmentation of Handwritten Arabic Text into Constituent Sub-words

Umapada Pal, P. Nagabhushan, Hashem Ghaleb, 2016 .

Segmentation of Overlapped Handwritten Arabic Sub-Words

Umapada Pal, P. Nagabhushan, Hashem Ghaleb, 2015 .

A Benchmark Kannada Handwritten Document Dataset and Its Segmentation

Alireza Alaei, Umapada Pal, P. Nagabhushan, 2011, 2011 International Conference on Document Analysis and Recognition.

A new scheme for unconstrained handwritten text-line segmentation

Alireza Alaei, Umapada Pal, P. Nagabhushan, 2011, Pattern Recognit..

A channel wise color image watermarking scheme based on Discrete Wavelet Transformation

M. A. Peer, P. Nagabhushan, Kaiser J. Giri, 2014, 2014 International Conference on Computing for Sustainable Global Development (INDIACom).

P. Nagabhushan, V. Asha, Nagappa U. Bhajantri, 2012, Int. J. Inf. Commun. Technol..

Automatic Detection of Texture-defects using Texture-periodicity and Jensen-Shannon Divergence

P. Nagabhushan, V. Asha, Nagappa U. Bhajantri, 2012, J. Inf. Process. Syst..

Automatic Detection of Texture Defects Using Texture-Periodicity and Gabor Wavelets pdf

P. Nagabhushan, V. Asha, Nagappa U. Bhajantri, 2011, ArXiv.

Automatic Detection of Defects on Periodically Patterned Textures

P. Nagabhushan, V. Asha, Nagappa U. Bhajantri, 2011, J. Intell. Syst..

Ahlame Douzal Chouakria, Panduranga Naidu Nagabhushan, P. Nagabhushan, 2007, Adv. Data Anal. Classif..

A Painting Based Technique for Skew Estimation of Scanned Documents

Alireza Alaei, Fumitaka Kimura, Umapada Pal, 2011, 2011 International Conference on Document Analysis and Recognition.

Text line Segmentation in Compressed Representation of Handwritten Document using Tunneling Algorithm pdf

P. Nagabhushan, R Amarnath, P. Nagabhushan, 2018, ArXiv.

An Experimental Study on the Effect of Noise in CCITT Group 4 Compressed Document Images

Mohammed Javed, P. Nagabhushan, D. K. Sreekantha, 2020 .

Multiresolution Knowledge Mining using Wavelet Transform

P. Nagabhushan, R. Pradeep Kumar, P. Nagabhushan, 2007, Eng. Lett..

Automatic extraction of texture-periodicity using superposition of distance matching functions and their forward differences

P. Nagabhushan, V. Asha, Nagappa U. Bhajantri, 2012, Pattern Recognit. Lett..

A framework to estimate natural classes in remotely sensed data

P. Nagabhushan, H.N.S. Prakash, K.C. Gowda, 1996, 1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96.

Rule Line Detection and Removal in Handwritten Text Images

P. Nagabhushan, Syed Imtiaz, Sahana D. Gowda, 2014, 2014 Fifth International Conference on Signal and Image Processing.

Parallel Levenberg-Marquardt-Based Neural Network Training on Linux Clusters - A Case Study

P. Nagabhushan, N. N. R. Ranga Suri, Dipti Deodhare, 2002, ICVGIP.

Visual learning and recognition of 3D objects using two-dimensional principal component analysis: A robust and an efficient approach

P. Nagabhushan, D. S. Guru, B. H. Shekar, 2006, Pattern Recognit..

Using Modified Contour Features and SVM Based Classifier for the Recognition of Persian/Arabic Handwritten Numerals

Alireza Alaei, Umapada Pal, P. Nagabhushan, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

Target Class Supervised Feature Subsetting

P. Nagabhushan, H. N. Meenakshi, P. Nagabhushan, 2014 .

Robust Face Recognition in the Presence of Noises and Blurring Effects by Fusing Appearance Based Techniques and Sparse Representation

P. Nagabhushan, G. Josemin Bala, Steven Lawrence Fernandes, 2013, 2013 2nd International Conference on Advanced Computing, Networking and Security.

An efficient method for video shot boundary detection and keyframe extraction using SIFT-point distribution histogram

Mohammed Javed, P. Nagabhushan, Karim Afdel, 2016, International Journal of Multimedia Information Retrieval.

A neuro-expert system model for conflict resolution

P. Nagabhushan, N. V. Subba Reddy, P. Nagabhushan, 1997 .

Tracing and straightening the baseline in handwritten persian/arabic text-line: A new approach based on painting-technique

P. Nagabhushan, Alireza Alaei, P. Nagabhushan, 2010 .

Object removal by depth-wise image inpainting

S. Mirkamali, P. Nagabhushan, 2015, Signal Image Video Process..

Monitoring of people entering and exiting private areas using Computer Vision pdf

V VinayKumar, P Nagabhushan, P. Nagabhushan, 2019, ArXiv.

Piece-wise painting technique for line segmentation of unconstrained handwritten text: a specific study with Persian text documents

Alireza Alaei, Umapada Pal, P. Nagabhushan, 2011, Pattern Analysis and Applications.

Language Identification from an Indian Multilingual Document Using Profile Features

P. Nagabhushan, M.C. Padma, P.A. Vijaya, 2009, 2009 International Conference on Computer and Automation Engineering.

Entry-Exit event detection and learning

V VinayKumar, P Nagabhushan, Vinayshekhar Bannihatti Kumar, 2019, 1908.00716.

Dictionary supported generation of English text from Pitman Shorthand scripted phonetic text

P. Nagabhushan, Basavaraj S. Anami, D. S. Guru, 2002, Language Engineering Conference, 2002. Proceedings.

A knowledge-based approach for recognition of handwritten Pitman shorthand language strokes

P. Nagabhushan, Basavaraj S. Anami, B. Anami, 2002 .

Handling Diphtong and Triphone Sysmbols: Useful in Automatic English Text Generation from Pitman Shorthand Language Document

P. Nagabhushan, Basavaraj S. Anami, B. Anami, 2000, AIMSA.

Incremental Dimensionality Reduction in Hyperspectral Data

P. Nagabhushan, Preeti Mahadev, P. Nagabhushan, 2017 .

Depth-Wise Segmentation of 3D Images Using Entropy

P. Nagabhushan, S. S. Mirkamali, S. Mirkamali, 2012 .

Strike off removal in Indic scripts with transfer learning

Adarsh Prasad Behera, P. Nagabhushan, S. Nigam, 2023, Neural Computing and Applications.

Depth-wise layering of 3d images using dense depth maps: a threshold based approach pdf

P. Nagabhushan, S. S. Mirkamali, S. Mirkamali, 2020, ArXiv.

T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network

S. Dubey, P. Nagabhushan, B. Rajesh, 2022, CVIP.

Triangular spatial relationship: a new approach for spatial knowledge representation

P. Nagabhushan, D. S. Guru, P. Nagabhushan, 2001, Pattern Recognit. Lett..

ScienceDirect International Conference on Computational Modeling and Security ( CMS 2016 ) Visualizing CCITT Group 3 and Group 4 TIFF Documents and Transforming to Run-Length Compressed Format Enabling Direct Processing in Compressed Domain

Mohammed Javed, P. Nagabhushan, Bidyut B. Chaudhuri, 2016 .

A Comparative Study on Score Level Fusion Techniques and MACE Gabor Filters for Face Recognition in the Presence of Noises and Blurring Effects

P. Nagabhushan, G. Josemin Bala, Steven L. Fernandes, 2013, 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies.

Segmentation-Less Extraction of Text and Non-Text Regions From JPEG 2000 Compressed Document Images Through Partial and Intelligent Decompression

Osamu Watanabe, P. Nagabhushan, M. Javed, 2023, IEEE Access.

Histogram PCA

P. Nagabhushan, R. Pradeep Kumar, P. Nagabhushan, 2007, ISNN.

AB Distance Based Histogram Clustering for Mining Multi-Channel EEG Data Using Wavesim Transform

P. Nagabhushan, R. Pradeep Kumar, P. Nagabhushan, 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

Learning Target Class Feature Subspace (LTC-FS) Using Eigenspace Analysis and N-ary Search-Based Autonomous Hyperparameter Tuning for OCSVM

P. Nagabhushan, S. K. Sonbhadra, Sonali Agarwal, 2021, Int. J. Pattern Recognit. Artif. Intell..

GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures

P. Nagabhushan, V. Asha, Nagappa U. Bhajantri, 2011, Int. J. Comput. Vis. Robotics.

Symbolic agglomerative clustering for quantitative analysis of remotely sensed data

P. Nagabhushan, K. Chidananda Gowda, H. N. Srikanta Prakash, 2000 .

Automatic localization and extraction of tables from handheld mobile-camera captured handwritten document images

Mohammed Javed, P. Nagabhushan, G. S. Sindhushree, 2019, J. Intell. Fuzzy Syst..

DWT-CompCNN: deep image classification network for high throughput JPEG 2000 compressed documents

P. Nagabhushan, M. Javed, Tejasvee Bisen, 2023, Pattern Analysis and Applications.