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ORCIDR. K. Agrawal 0001
Ramesh K. Agrawal – Ramesh Kumar Agrawal
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- affiliation: Jawaharlal Nehru University, New Delhi, India
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2020 – today
- 2023
[j60]Puneet Kumar
, R. K. Agrawal, Dhirendra Kumar:
Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation. Appl. Soft Comput. 133: 109939 (2023)- [j59]Ashish Kumar, R. K. Agrawal, Leve Joseph:
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation. Multim. Tools Appl. 82(28): 43207-43231 (2023) - 2022
- [j58]Parul Agarwal, R. K. Agrawal, Baljeet Kaur:
Multi-objective particle swarm optimization with guided exploration for multimodal problems. Appl. Soft Comput. 120: 108684 (2022) - [j57]Baljeet Kaur, Swati Rathi, R. K. Agrawal:
Enhanced depression detection from speech using Quantum Whale Optimization Algorithm for feature selection. Comput. Biol. Medicine 150: 106122 (2022) - [j56]Swati Rathi, Baljeet Kaur, R. K. Agrawal:
Selection of Relevant Visual Feature Sets for Enhanced Depression Detection using Incremental Linear Discriminant Analysis. Multim. Tools Appl. 81(13): 17703-17727 (2022) - [j55]Puneet Kumar, Dhirendra Kumar, Ramesh Kumar Agrawal:
Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image. Neural Comput. Appl. 34(6): 4855-4874 (2022) - [j54]Dhirendra Kumar, R. K. Agrawal, Puneet Kumar:
Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation. IEEE Trans. Fuzzy Syst. 30(3): 687-700 (2022) - [c40]Puneet Kumar, R. K. Agrawal, Dhirendra Kumar:
Kullback-Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation. CVMI 2022: 615-630 - [i6]Ashish Kumar, R. K. Agrawal, Leve Joseph:
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation. CoRR abs/2208.01485 (2022) - 2021
- [j53]R. K. Agrawal, Baljeet Kaur, Parul Agarwal:
Quantum inspired Particle Swarm Optimization with guided exploration for function optimization. Appl. Soft Comput. 102: 107122 (2021) - [j52]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Weiping Ding, Chin-Teng Lin, Mukesh Prasad:
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3080-3092 (2021) - [c39]Harsh Bhasin, R. K. Agrawal:
Applicability of Manually Crafted Convolutional Neural Network for Classification of Mild Cognitive Impairment. ACCC 2021: 127-131 - [c38]Harsh Bhasin, R. K. Agrawal:
Multiple-Activation Parallel Convolution Network in Combination with t-SNE for the Classification of Mild Cognitive Impairment. BIBE 2021: 1-7 - [c37]Puneet Kumar, Dhirendra Kumar, Ramesh Kumar Agrawal:
Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation. CVIP (2) 2021: 350-361 - [c36]Snigdha Agrawal, S. Senthil Kumaran, Achal Kumar Srivastava, Ramesh Kumar Agrawal, Manpreet Kaur Narang:
Study of 2D Feature Extraction Techniques for Classification of Spinocerebellar Ataxia Type 12 (SCA12). MedInfo 2021: 670-674 - [e3]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e2]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e1]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - [i5]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad:
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. CoRR abs/2111.08154 (2021) - 2020
- [j51]R. K. Agrawal, Baljeet Kaur, Surbhi Sharma:
Quantum based Whale Optimization Algorithm for wrapper feature selection. Appl. Soft Comput. 89: 106092 (2020) - [j50]Jyoti Singh Kirar, R. K. Agrawal:
A combination of spectral graph theory and quantum genetic algorithm to find relevant set of electrodes for motor imagery classification. Appl. Soft Comput. 97(Part B): 105519 (2020) - [j49]Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad:
A hierarchical meta-model for multi-class mental task based brain-computer interfaces. Neurocomputing 389: 207-217 (2020) - [j48]Harsh Bhasin, Ramesh Kumar Agrawal:
A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment. BMC Medical Informatics Decis. Mak. 20(1): 37 (2020) - [j47]Dhirendra Kumar, R. K. Agrawal, Hanuman Verma:
Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation. Soft Comput. 24(6): 4003-4026 (2020)
2010 – 2019
- 2019
- [j46]Utkarsh Niranjan, Anurag Singh, Ramesh Kumar Agrawal:
A mean-field-theoretic model for dual information propagation in networks. J. Complex Networks 7(4): 585-602 (2019) - [j45]Rinki Arya, R. K. Agrawal, Navjot Singh:
A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation. Knowl. Inf. Syst. 60(1): 327-361 (2019) - [j44]Namita Aggarwal, Bharti Rana, R. K. Agrawal:
Role of surfacelet transform in diagnosing Alzheimer's disease. Multidimens. Syst. Signal Process. 30(4): 1839-1858 (2019) - [j43]Dhirendra Kumar, Hanuman Verma, Aparna Mehra, R. K. Agrawal:
A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image. Multim. Tools Appl. 78(10): 12663-12687 (2019) - [c35]R. K. Agrawal, Akanksha Juneja:
Deep Learning Models for Medical Image Analysis: Challenges and Future Directions. BDA 2019: 20-32 - [c34]Dhirendra Kumar, Ramesh Kumar Agrawal, Jyoti Singh Kirar:
Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation. FUZZ-IEEE 2019: 1-7 - [c33]Swati Rathi, Baljeet Kaur, R. K. Agrawal:
Enhanced Depression Detection from Facial Cues Using Univariate Feature Selection Techniques. PReMI (1) 2019: 22-29 - 2018
- [j42]Akanksha Juneja, Bharti Rana, R. K. Agrawal:
A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI. Comput. Methods Programs Biomed. 155: 139-152 (2018) - [j41]Utkarsh Niranjan, Ramesh Kumar Agrawal, Brejesh Lall:
Analysis of the SIRP epidemic model with anti-worm patching. Int. J. Comput. Math. Comput. Syst. Theory 3(2): 122-143 (2018) - [j40]Jyoti Singh Kirar, R. K. Agrawal:
Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG. J. Medical Syst. 42(5): 78 (2018) - [j39]Akanksha Juneja, Bharti Rana, R. K. Agrawal:
fMRI based computer aided diagnosis of schizophrenia using fuzzy kernel feature extraction and hybrid feature selection. Multim. Tools Appl. 77(3): 3963-3989 (2018) - [j38]Navjot Singh, Rinki Arya, R. K. Agrawal:
Performance enhancement of salient object detection using superpixel based Gaussian mixture model. Multim. Tools Appl. 77(7): 8511-8529 (2018) - [c32]Jyoti Singh Kirar, R. K. Agrawal:
Relevant Frequency Band Selection using Sequential Forward Feature Selection for Motor Imagery Brain Computer Interfaces. SSCI 2018: 52-59 - 2017
- [j37]Rinki Arya, Navjot Singh, R. K. Agrawal:
A novel combination of second-order statistical features and segmentation using multi-layer superpixels for salient object detection. Appl. Intell. 46(2): 254-271 (2017) - [j36]Jyoti Singh Kirar, R. K. Agrawal:
Composite kernel support vector machine based performance enhancement of brain computer interface in conjunction with spatial filter. Biomed. Signal Process. Control. 33: 151-160 (2017) - [j35]Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, Madhuri Behari, R. K. Agrawal:
Relevant 3D local binary pattern based features from fused feature descriptor for differential diagnosis of Parkinson's disease using structural MRI. Biomed. Signal Process. Control. 34: 134-143 (2017) - [j34]Akanksha Juneja, Bharti Rana, R. K. Agrawal:
An enhanced texture-based image retrieval approach with features selected from integration of feature extraction techniques. Int. J. Comput. Vis. Robotics 7(4): 357-380 (2017) - [j33]Navjot Singh, Rinki Arya, R. K. Agrawal:
A novel position prior using fusion of rule of thirds and image center for salient object detection. Multim. Tools Appl. 76(8): 10521-10538 (2017) - [c31]Jyoti Singh Kirar, Ayesha Choudhary, R. K. Agrawal:
Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks. PReMI 2017: 96-102 - 2016
- [j32]Hanuman Verma, R. K. Agrawal, Aditi Sharan:
An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation. Appl. Soft Comput. 46: 543-557 (2016) - [j31]Akanksha Juneja, Bharti Rana, R. K. Agrawal:
A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI. Biomed. Signal Process. Control. 27: 122-133 (2016) - [j30]Nitin Kumar, Ramesh K. Agrawal, Ajay Jaiswal:
Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition. Comput. Informatics 35(5): 1231-1248 (2016) - [j29]Navjot Singh, Rinki Arya, R. K. Agrawal:
A convex hull approach in conjunction with Gaussian mixture model for salient object detection. Digit. Signal Process. 55: 22-31 (2016) - [j28]Nitin Kumar, R. K. Agrawal:
Two-dimensional exponential discriminant analysis for small sample size in face recognition. Int. J. Artif. Intell. Soft Comput. 5(3): 194-208 (2016) - [j27]Manju Sardana, R. K. Agrawal, Baljeet Kaur:
A hybrid of clustering and quantum genetic algorithm for relevant genes selection for cancer microarray data. Int. J. Knowl. Based Intell. Eng. Syst. 20(3): 161-173 (2016) - [j26]Rinki Arya, Navjot Singh, R. K. Agrawal:
A novel hybrid approach for salient object detection using local and global saliency in frequency domain. Multim. Tools Appl. 75(14): 8267-8287 (2016) - [c30]Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, R. K. Agrawal, Madhuri Behari:
Voxel-based morphometry and minimum redundancy maximum relevance method for classification of Parkinson's disease and controls from T1-weighted MRI. ICVGIP 2016: 22:1-22:6 - [c29]Dhirendra Kumar, Ramesh Kumar Agrawal:
Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification. SoCPaR 2016: 94-104 - 2015
- [j25]Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, R. K. Agrawal, Madhuri Behari:
Regions-of-interest based automated diagnosis of Parkinson's disease using T1-weighted MRI. Expert Syst. Appl. 42(9): 4506-4516 (2015) - [j24]Hanuman Verma, R. K. Agrawal:
Possibilistic Intuitionistic Fuzzy c-Means Clustering Algorithm for MRI Brain Image Segmentation. Int. J. Artif. Intell. Tools 24(5): 1550016:1-1550016:24 (2015) - [j23]Ajay Jaiswal, Nitin Kumar, R. K. Agrawal:
Analysis and evaluation of regression-based methods for facial pose classification. Int. J. Appl. Pattern Recognit. 2(1): 24-45 (2015) - [j22]Namita Aggarwal, Bharti Rana, R. K. Agrawal, S. Senthil Kumaran:
A combination of dual-tree discrete wavelet transform and minimum redundancy maximum relevance method for diagnosis of Alzheimer's disease. Int. J. Bioinform. Res. Appl. 11(5): 433-461 (2015) - [j21]Manju Sardana, R. K. Agrawal, Baljeet Kaur:
An incremental feature selection approach based on scatter matrices for classification of cancer microarray data. Int. J. Comput. Math. 92(2): 277-295 (2015) - [j20]Bharti Rana, Akanksha Juneja, Ramesh K. Agrawal:
Relevant Feature Subset Selection from Ensemble of Multiple Feature Extraction Methods for Texture Classification. Int. J. Comput. Vis. Image Process. 5(1): 48-65 (2015) - [j19]Namita Aggarwal, Bharti Rana, R. K. Agrawal:
3d discrete wavelet transform for computer aided diagnosis of Alzheimer's disease using t1-weighted brain MRI. Int. J. Imaging Syst. Technol. 25(2): 179-190 (2015) - [j18]Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, Madhuri Behari, R. K. Agrawal:
Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI. Int. J. Imaging Syst. Technol. 25(3): 245-255 (2015) - [j17]Nitin Kumar, R. K. Agrawal:
Block LDA via QR-decomposition for face recognition with single image per person. Int. J. Knowl. Based Intell. Eng. Syst. 19(3): 173-181 (2015) - [j16]Navjot Singh, R. K. Agrawal:
Combination of Kullback-Leibler divergence and Manhattan distance measures to detect salient objects. Signal Image Video Process. 9(2): 427-435 (2015) - [j15]Akshansh Gupta, R. K. Agrawal, Baljeet Kaur:
Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods. Soft Comput. 19(10): 2799-2812 (2015) - [c28]Jyoti Singh Kirar, R. K. Agrawal:
Optimal Spatio-spectral Variable Size Subbands Filter for Motor Imagery Brain Computer Interface. IHCI 2015: 14-21 - 2014
- [j14]Ratnadip Adhikari, R. K. Agrawal:
Performance evaluation of weights selection schemes for linear combination of multiple forecasts. Artif. Intell. Rev. 42(4): 529-548 (2014) - [j13]Nitin Kumar, R. K. Agrawal, Ajay Jaiswal:
Incremental and Decremental Exponential Discriminant Analysis for Face Recognition. Int. J. Comput. Vis. Image Process. 4(1): 40-55 (2014) - [j12]Hanuman Verma, Ramesh K. Agrawal, Naveen Kumar:
Improved fuzzy entropy clustering algorithm for MRI brain image segmentation. Int. J. Imaging Syst. Technol. 24(4): 277-283 (2014) - [j11]Ratnadip Adhikari, R. K. Agrawal:
A combination of artificial neural network and random walk models for financial time series forecasting. Neural Comput. Appl. 24(6): 1441-1449 (2014) - [j10]Ratnadip Adhikari, R. K. Agrawal:
A linear hybrid methodology for improving accuracy of time series forecasting. Neural Comput. Appl. 25(2): 269-281 (2014) - [j9]Navjot Singh, Rinki Arya, R. K. Agrawal:
A novel approach to combine features for salient object detection using constrained particle swarm optimization. Pattern Recognit. 47(4): 1731-1739 (2014) - [c27]Akanksha Juneja, Bharti Rana, R. K. Agrawal:
A Novel Approach for Computer Aided Diagnosis of Schizophrenia using Auditory Oddball Functional MRI. ICVGIP 2014: 37:1-37:6 - [c26]Akanksha Juneja, Bharti Rana, R. K. Agrawal:
A Novel Approach for Classification of Schizophrenia Patients and Healthy Subjects Using Auditory Oddball Functional MRI. MICAI (Special Sessions) 2014: 75-81 - [c25]Nitin Kumar, R. K. Agrawal, Ajay Jaiswal:
A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition. SIRS 2014: 23-32 - 2013
- [j8]Ratnadip Adhikari, R. K. Agrawal:
Hybridization of Artificial Neural Network and Particle Swarm Optimization Methods for Time Series Forecasting. Int. J. Appl. Evol. Comput. 4(3): 75-90 (2013) - [c24]Namita Aggarwal, Bharti Rana, R. K. Agrawal:
Detection of Alzheimer's Disease via Statistical Features from Brain Slices. FLAIRS 2013 - [c23]Manju Sardana, R. K. Agrawal, Baljeet Kaur:
Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data. PAKDD Workshops 2013: 428-439 - [i4]Ratnadip Adhikari, R. K. Agrawal:
A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting. CoRR abs/1302.6210 (2013) - [i3]Ratnadip Adhikari, R. K. Agrawal:
Combining Multiple Time Series Models Through A Robust Weighted Mechanism. CoRR abs/1302.6595 (2013) - [i2]Ratnadip Adhikari, R. K. Agrawal:
An Introductory Study on Time Series Modeling and Forecasting. CoRR abs/1302.6613 (2013) - [i1]Ratnadip Adhikari, R. K. Agrawal, Laxmi Kant:
PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting. CoRR abs/1302.6615 (2013) - 2012
- [j7]Rajni Bala, Ramesh K. Agrawal:
Clustering in Conjunction with Wrapper Approach to Select Discriminatory Genes for Microarray Dataset Classification. Comput. Informatics 31(5): 921-938 (2012) - [j6]Ajay Jaiswal, Nitin Kumar, R. K. Agrawal:
Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition. Int. J. Comput. Vis. Image Process. 2(2): 48-58 (2012) - [j5]Namita Aggarwal, Bharti Rana, R. K. Agrawal:
Classification of Alzheimer's from T2 Trans-Axial Brain MR Images: A Comparative Study of Feature Extraction Techniques. Int. J. Comput. Vis. Image Process. 2(3): 50-63 (2012) - [c22]Ajay Jaiswal, Nitin Kumar, Ramesh K. Agrawal:
A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose. CIARP 2012: 67-73 - [c21]Akshansh Gupta, R. K. Agrawal, Baljeet Kaur:
A three phase approach for mental task classification using EEG. ICACCI 2012: 898-904 - [c20]Nitin Kumar, Ajay Jaiswal, Ramesh K. Agrawal:
Performance evaluation of subspace methods to tackle small sample size problem in face recognition. ICACCI 2012: 938-944 - [c19]Namita Aggarwal, Bharti, R. K. Agrawal:
Computer Aided Diagnosis of Alzheimer's Disease from MRI Brain Images. ICIAR (2) 2012: 259-267 - [c18]Ajay Jaiswal, Nitin Kumar, R. K. Agrawal:
Statistical Framework for Facial Pose Classification. MICAI (1) 2012: 87-96 - [c17]Bharti Rana, R. K. Agrawal:
Salient Features Selection for Multiclass Texture Classification. MICAI (1) 2012: 205-215 - [c16]Manju Sardana, Baljeet Kaur, R. K. Agrawal:
Performance Evaluation of Ranking Methods for Relevant Gene Selection in Cancer Microarray Datasets. MICAI (1) 2012: 407-418 - [c15]Ratnadip Adhikari, R. K. Agrawal:
A Novel Weighted Ensemble Technique for Time Series Forecasting. PAKDD (1) 2012: 38-49 - [c14]Akshansh Gupta, R. K. Agrawal:
Relevant Feature Selection from EEG Signal for Mental Task Classification. PAKDD (2) 2012: 431-442 - [c13]Ratnadip Adhikari, R. K. Agrawal:
Combining multiple time series models through a robust weighted mechanism. RAIT 2012: 455-460 - 2011
- [j4]Manju Bala, R. K. Agrawal:
Optimal Decision Tree Based Multi-class Support Vector Machine. Informatica (Slovenia) 35(2): 197-209 (2011) - [j3]Rajni Bala, R. K. Agrawal:
Mutual Information and Cross Entropy Framework to Determine Relevant Gene Subset for Cancer Classification. Informatica (Slovenia) 35(3): 375-382 (2011) - [c12]Ajay Jaiswal, Ramesh K. Agrawal, Nitin Kumar:
Performance evaluation of linear subspace methods for face recognition under illumination variation. C3S2E 2011: 103-110 - [c11]Ratnadip Adhikari, R. K. Agrawal:
Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting. IICAI 2011: 231-244 - [c10]Hanuman Verma, R. K. Agrawal:
Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm. IICAI 2011: 1060-1069 - [c9]Hanuman Verma, R. K. Agrawal:
Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brian Image. SocProS (2) 2011: 133-144 - 2010
- [c8]Manju Bala, Namita Aggarwal, R. K. Agrawal:
Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVM. DMIN 2010: 98-105 - [c7]Rajni Bala, R. K. Agrawal:
Entropy Based Clustering to Determine Discriminatory Genes for Microarray Dataset. IC3 (1) 2010: 403-411 - [c6]Rajni Bala, R. K. Agrawal, Manju Sardana:
Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure. PAKDD (2) 2010: 81-88
2000 – 2009
- 2009
- [c5]Manju Bala, R. K. Agrawal:
Evaluation of Decision Tree SVM Framework Using Different Statistical Measures. ARTCom 2009: 341-345 - [c4]R. K. Agrawal, Ashish Chaudhary:
Perturbation Scheme for Online Incremental Learning of Features for Face Recognition. DMIN 2009: 110-116 - [c3]Manju Bala, R. K. Agrawal:
Decision Tree SVM Framework Using Ratio of Interclass and Intraclass Scatters. IICAI 2009: 2198-2206 - [c2]G. K. Rajput, R. K. Agrawal:
Evaluation of Feature Selection Measures for Steganalysis. PReMI 2009: 432-439 - 2008
- [j2]R. K. Agrawal, Karmeshu:
Perturbation scheme for online learning of features: Incremental principal component analysis. Pattern Recognit. 41(5): 1452-1460 (2008) - [j1]R. K. Agrawal, Rajni Bala:
Incremental Bayesian classification for multivariate normal distribution data. Pattern Recognit. Lett. 29(13): 1873-1876 (2008) - [c1]R. K. Agrawal, Rajni Bala, Manju Bala:
Discriminant Function Revisited for Incremental Learning. ICVGIP 2008: 435-441
Coauthor Index
Bharti
aka: Bharti Rana
aka: Bharti Rana
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