K. Sivakumar

发表

Application of imaging techniques to geometry analysis of aggregate particles

C. Chandan, K. Sivakumar, E. Masad, 2004 .

Computation of morphological texture features for medical imaging applications

Nasser Kehtarnavaz, Edward R. Dougherty, Krishnamoorthy Sivakumar, 1998, Medical Imaging.

Distributed Web mining using Bayesian networks from multiple data streams

Rong Chen, Hillol Kargupta, Krishnamoorthy Sivakumar, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Collective mining of Bayesian networks from distributed heterogeneous data

K. Sivakumar, H. Kargupta, Rong Chen, 2003, Knowledge and Information Systems.

Unsupervised morphological granulometric texture segmentation of digital mammograms

Nasser Kehtarnavaz, Edward R. Dougherty, Krishnamoorthy Sivakumar, 1999, J. Electronic Imaging.

Segmentation of mammograms into distinct morphological texture regions

Nasser Kehtarnavaz, Edward R. Dougherty, Krishnamoorthy Sivakumar, 1998, Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237).

On Estimating Granulometric Discrete Size Distributions of Random Sets

J. Goutsias, K. Sivakumar, 1997 .

Collective Mining of Bayesian Networks from Distributed Heterogeneous Data

K. Sivakumar, H. Kargupta, Rong Chen, 2004, Knowledge and Information Systems.

An Effective Entity Resolution Method

Krishnamoorthy Sivakumar, Chuan Zhao, K. Sivakumar, 2010, International Conference on Data Mining.

Collective Mining of Bayesian Networks from Distributed Heterogeneous Data

K. Sivakumar, H. Kargupta, Rong Chen, 2004 .

Calendar of Events

A. Joshi, K. Sivakumar, 2009, New Generation Computing.

Reduced complexity iterative equalizers for M-ary 2D ISI channels

Ying Zhu, Krishnamoorthy Sivakumar, Benjamin Belzer, 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

Distributed Clustering Using Collective Principal Component Analysis

Hillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, 2001, Knowledge and Information Systems.

Algorithms for Distributed Data Stream Mining

Rong Chen, Ran Wolff, Hillol Kargupta, 2007, Data Streams - Models and Algorithms.

CS 445: Digital Image Processing (Spring 2002)

K. Sivakumar, K. Sivakumar, 2002 .

Image restoration using a multilayer perceptron with a multilevel sigmoidal function

U. B. Desai, K. Sivakumar, U. Desai, 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

Learning Bayesian Network Structure from Distributed Data

Rong Chen, Krishnamoorthy Sivakumar, H. Khargupta, 2003, SDM.

Aggregate Imaging System for Characterizing the Shape of Fine and Coarse Aggregates

Eyad Masad, Thomas Fletcher, C. Chandan, 2003 .

Data Mining: Next Generation Challenges and Future Directions

Yelena Yesha, Hillol Kargupta, Krishnamoorthy Sivakumar, 2004 .

Deep Neural Network Based Media Noise Predictors for Use in High-Density Magnetic Recording Turbo-Detectors

Krishnamoorthy Sivakumar, Kheong Sann Chan, Jinlu Shen, 2019, IEEE Transactions on Magnetics.

ISI/ITI Turbo Equalizer for TDMR Using Trained Local Area Influence Probabilistic Model

Krishnamoorthy Sivakumar, Kheong Sann Chan, Jinlu Shen, 2019, IEEE Transactions on Magnetics.

Homeland security and privacy sensitive data mining from multi-party distributed resources

Kun Liu, Hillol Kargupta, Krishnamoorthy Sivakumar, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Morphological Sampling of Random Closed Sets

Krishnamoorthy Sivakumar, John K. Goutsias, J. Goutsias, 1996, ISMM.

Random-data perturbation techniques and privacy-preserving data mining

Qi Wang, Hillol Kargupta, Krishnamoorthy Sivakumar, 2005, Knowledge and Information Systems.

On the privacy preserving properties of random data perturbation techniques

Qi Wang, Hillol Kargupta, Krishnamoorthy Sivakumar, 2003, Third IEEE International Conference on Data Mining.

Convolutional Neural Network Based Symbol Detector for Two-Dimensional Magnetic Recording

Krishnamoorthy Sivakumar, Kheong Sann Chan, Jinlu Shen, 2021, IEEE Transactions on Magnetics.

Convolutional Neural Network-Based Media Noise Prediction and Equalization for TDMR Turbo-Detection With Write/Read TMR

K. Sivakumar, S. Greaves, K. Chan, 2023, IEEE transactions on magnetics.

Deep Neural Network Media Noise Predictor Turbo-Detection System for 1-D and 2-D High-Density Magnetic Recording

Krishnamoorthy Sivakumar, Kheong Sann Chan, Benjamin J. Belzer, 2020, IEEE Transactions on Magnetics.

Deep Neural Network a Posteriori Probability Detector for Two-Dimensional Magnetic Recording

Krishnamoorthy Sivakumar, Kheong Sann Chan, Jinlu Shen, 2020, IEEE Transactions on Magnetics.

TDMR Detection System with Local Area Influence Probabilistic a Priori Detector

Krishnamoorthy Sivakumar, Kheong Sann Chan, Jinlu Shen, 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

High Density Turbo TDMR Detection With Local Area Influence Probabilistic Model

Krishnamoorthy Sivakumar, Benjamin J. Belzer, Roger Wood, 2017, IEEE Transactions on Magnetics.

A perspective on deep neural network-based detection for multilayer magnetic recording

Krishnamoorthy Sivakumar, Benjamin Belzer, Kheong Sann Chan, 2021, Applied Physics Letters.

Deep Neural Network-Based Detection and Partial Response Equalization for Multilayer Magnetic Recording

Krishnamoorthy Sivakumar, Kheong Sann Chan, Benjamin J. Belzer, 2021, IEEE Transactions on Magnetics.

Convolutional Neural Network Based Symbol Detector for Two-Dimensional Magnetic Recording

K. Sivakumar, K. Chan, B. Belzer, 2020, 2020 IEEE 31st Magnetic Recording Conference (TMRC).

Row-Column Soft-Decision Feedback Algorithm for Two-Dimensional Intersymbol Interference

Krishnamoorthy Sivakumar, Benjamin Belzer, Taikun Cheng, 2007, IEEE Signal Processing Letters.

Iterative Detection and Decoding for TDMR With 2-D Intersymbol Interference Using the Four-Rectangular-Grain Model

Morteza Mehrnoush, Yiming Chen, Krishnamoorthy Sivakumar, 2015, IEEE Transactions on Magnetics.

Energy-Efficient Serialized Walsh-Hadamard Transform Based Feature-Extraction for Information-Aware Compressive Sensing

Krishnamoorthy Sivakumar, Huan Hu, Subhanshu Gupta, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Asymptotic joint normality of the granulometric moments

Edward R. Dougherty, Yoganand Balagurunathan, Krishnamoorthy Sivakumar, 2001, Pattern Recognit. Lett..

Collective Principal Component Analysis from Distributed, Heterogeneous Data

Hillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, 2000, PKDD.

Learning from perturbed data for privacy-preserving data mining

Krishnamoorthy Sivakumar, Jianjie Ma, K. Sivakumar, 2006 .

Comparative analysis of elementary and edge-preserving spatial filters in noise removal – a comprehensive study

K. Sivakumar, B. Sakthiraam., S. Snehal., 2021, Journal of University of Shanghai for Science and Technology.

Multivariate measurement of gene expression relationships.

E. Dougherty, M. Bittner, P. Meltzer, 2000, Genomics.

Deep Learning-based Auto-encoder for Time-offset Faster-than-Nyquist Downlink NOMA with Timing Errors and Imperfect CSI

K. Sivakumar, B. Belzer, M. Torabi, 2023, ArXiv.

Serially Concatenated IRA Codes pdf

Krishnamoorthy Sivakumar, Benjamin Belzer, Taikun Cheng, 2007, ArXiv.

EXIT chart based IRA code design for TDMR

Morteza Mehrnoush, Krishnamoorthy Sivakumar, Benjamin Belzer, 2017, 2016 Annual Conference on Information Science and Systems (CISS).

EXIT Chart-Based IRA Code Design for TDMR Turbo-Equalization System

Morteza Mehrnoush, Krishnamoorthy Sivakumar, Benjamin Belzer, 2016, IEEE Transactions on Communications.

Collective Mining of Bayesian Networks from Distributed Heterogeneous Data

K. Sivakumar, H. Kargupta, Rong Chen, 2004, Knowledge and Information Systems.

A Unified Automated Segmentation Technique for the Left Ventricle Segmentation in Cardiac MRI

K. Sivakumar, S. Lavanya, V. Keerthana, 2020, IOP Conference Series: Materials Science and Engineering.

Binary random fields, random closed sets, and morphological sampling

Krishnamoorthy Sivakumar, John K. Goutsias, J. Goutsias, 1996, IEEE Trans. Image Process..

Iterative detection and decoding for the four-rectangular-grain TDMR model

Yiming Chen, Krishnamoorthy Sivakumar, Benjamin Belzer, 2013, 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Morphological Operators for Image Sequences

Krishnamoorthy Sivakumar, Henk J. A. M. Heijmans, John K. Goutsias, 1995, Comput. Vis. Image Underst..

Analysis of privacy preserving random perturbation techniques: further explorations

Haimonti Dutta, Hillol Kargupta, Krishnamoorthy Sivakumar, 2003, WPES '03.

An Optimization based Modified Maximum Sensitive Item-Sets Conflict First Algorithm (MSICF) for Hiding Sensitive Item-Sets

D. Jaya Kumari, Nistala. V. E. S. Murthy, S. Srinivasa Suresh, 2013 .