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Balakrishnan Ramadoss
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2020 – today
- 2023
- [j17]Sridhar Raj S
, Munaga V. N. K. Prasad, Ramadoss Balakrishnan
Generative Segment-pose Representation based Augmentation (GSRA) for unsupervised person re-identification. Image Vis. Comput. 131: 104632 (2023) - 2022
- [j16]G. S. Smrithy
A Statistical-Based Light-Weight Anomaly Detection Framework for Wireless Body Area Networks. Comput. J. 65(7): 1752-1759 (2022) - [j15]Arpita Gupta
Deep Residual Network and Transfer Learning-based Person Re-Identification. Intell. Syst. Appl. 16: 200137 (2022) - [j14]Sridhar Raj S
Spatio-Temporal association rule based deep annotation-free clustering (STAR-DAC) for unsupervised person re-identification. Pattern Recognit. 122: 108287 (2022) - 2021
- [j13]S. Sridhar Raj
Spatial segment-aware clustering based dynamic reliability threshold determination (SSC-DRTD) for unsupervised person re-identification. Expert Syst. Appl. 170: 114502 (2021) - 2020
- [j12]S. Sridhar Raj
Deep manifold clustering based optimal pseudo pose representation (DMC-OPPR) for unsupervised person re-identification. Image Vis. Comput. 101: 103956 (2020)
2010 – 2019
- 2019
- [c16]Sridhar Raj S
Light-Weight Visual Feature Based Labeling (LVFL) for Unsupervised Person Re-identification. SITIS 2019: 82-89 - 2018
- [j11]Balaji Chandrasekaran
An Efficient Tate Pairing Algorithm for a Decentralized Key-Policy Attribute Based Encryption Scheme in Cloud Environments. Cryptogr. 2(3): 14 (2018) - [j10]G. S. Smrithy
Detecting Insider Malicious Activities in Cloud Collaboration Systems. Fundam. Informaticae 161(3): 299-316 (2018) - [j9]Selvam Sheba, Ramadoss Balakrishnan, S. R. Balasundaram:
Social event detection - a systematic approach using ontology and linked open data with significance to semantic links. Int. Arab J. Inf. Technol. 15(4): 729-738 (2018) - [j8]Selvam Sheba, Ramadoss Balakrishnan
Ontology With Hybrid Clustering Approach for Improving the Retrieval Relevancy in Social Event Detection. Int. J. Semantic Web Inf. Syst. 14(4): 33-56 (2018) - [c15]G. S. Smrithy
Anomaly Detection Using Dynamic Sliding Window in Wireless Body Area Networks. WIR 2018: 99-108 - 2016
- [c14]G. S. Smrithy
A Statistical Technique for Online Anomaly Detection for Big Data Streams in Cloud Collaborative Environment. CIT 2016: 108-111 - [c13]G. S. Smrithy
Online anomaly detection using non-parametric technique for big data streams in cloud collaborative environment. IEEE BigData 2016: 1950-1955 - [c12]Balaji Chandrasekaran
Attribute Based Encryption Using Quadratic Residue for the Big Data in Cloud Environment. ICIA 2016: 19:1-19:4 - 2015
- [j7]Selvam Sheba, Balakrishnan Ramadoss, S. R. Balasundaram:
Geo distance-based event detection in social media. Int. J. Comput. Intell. Stud. 4(1): 87-101 (2015) - 2014
- [c11]Sathyan Munirathinam, Balakrishnan Ramadoss
Big data predictive analtyics for proactive semiconductor equipment maintenance. IEEE BigData 2014: 893-902 - 2013
- [j6]P. Prema, Balakrishnan Ramadoss, S. R. Balasundaram:
An algorithm for merging two classification trees for test case generation. Comput. Syst. Sci. Eng. 28(4) (2013) - [j5]P. Prema, Balakrishnan Ramadoss
Identification and deletion of duplicate subtrees in classification tree for test case reduction. Int. J. Inf. Syst. Chang. Manag. 6(4): 374-388 (2013) - [c10]P. Prema, Balakrishnan Ramadoss
An approach for reduced test path set selection. ICACCI 2013: 191-196 - [c9]Selvam Sheba, Balakrishnan Ramadoss
Event Detection Refinement Using External Tags for Flickr Collections. ICACNI 2013: 369-375 - [c8]Moses Dian Samuel, Ramadoss Balakrishnan
Trading of Grade Based Incentives to Avoid Free Riding and Starvation in P2P Network. ICDCIT 2013: 347-360 - [c7]Ramadoss Balakrishnan
Deity face recognition using schur decomposition and hausdorff distance measure. MWSCAS 2013: 1184-1187 - 2012
- [j4]Moses Dian Samuel, Ramadoss Balakrishnan
A grade-based incentive mechanism with starvation prevention for maintaining fairness in peer-to-peer networks. Int. J. Syst. Assur. Eng. Manag. 3(2): 84-99 (2012) - 2011
- [c6]Balakrishnan Ramadoss
Improving test coverage using merged classification tree. ICWET 2011: 752-757 - 2010
- [i3]Rajkumar Kannan, Frédéric Andrès, Balakrishnan Ramadoss:
Tutoring System for Dance Learning. CoRR abs/1001.0440 (2010) - [i2]Rajkumar Kannan, Balakrishnan Ramadoss:
Semantic Modeling and Retrieval of Dance Video Annotations. CoRR abs/1001.0441 (2010) - [i1]Rajkumar Kannan, Balakrishnan Ramadoss:
Modeling and Annotating the Expressive Semantics of Dance Videos. CoRR abs/1001.0442 (2010)
2000 – 2009
- 2008
- [j3]Balakrishnan Ramadoss, Rajkumar Kannan:
Modeling the Dance Video Semantics using Regular Tree Automata. Fundam. Informaticae 86(1-2): 175-189 (2008) - 2007
- [j2]Balakrishnan Ramadoss
Semi-automated Annotation and Retrieval of Dance Media Objects. Cybern. Syst. 38(4): 349-379 (2007) - 2006
- [j1]Balakrishnan Ramadoss, Rajkumar Kannan
Modelling and Querying the Expressive Semantics of Dance Videos. J. Inf. Knowl. Manag. 5(3): 193-210 (2006) - [c5]Balakrishnan Ramadoss, Rajkumar Kannan
Generic Modeling and Annotation of the Dance Video Semantics. CIT 2006: 123 - [c4]Balakrishnan Ramadoss, Rajkumar Kannan
Semi-automatic annotation and MPEG-7 authoring of dance videos. CIKM 2006: 878-879 - [c3]Balakrishnan Ramadoss, Rajkumar Kannan
Modeling the Dance Video Annotations. ICDIM 2006: 145-150 - 2004
- [c2]Rajkumar Kannan
An Approach for Conceptual Modeling and Extracting Expressive Semantics from Dance Videos. CIT 2004: 1-10 - [c1]Balakrishnan Ramadoss, S. R. Balasundaram:
Aspects of Pervasive Computing for Web Based Learning. CIT 2004: 419-425
Coauthor Index
aka: Sadhu Ramakrishnan Balasundaram
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