Akshay Vashist

According to our database1, Akshay Vashist authored at least 22 papers between 2005 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2015
Insider attack detection using weak indicators over network flow data.
Proceedings of the 34th IEEE Military Communications Conference, 2015

2013
Multidimensional splines with infinite number of knots as SVM kernels.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Towards network invariant fault diagnosis in MANETs via statistical modeling: The global strength of local weak decisions.
Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

Detecting communication anomalies in tactical networks via graph learning.
Proceedings of the 31st IEEE Military Communications Conference, 2012

TITAN: Integrated network management in tactical mobile ad hoc networks.
Proceedings of the 31st IEEE Military Communications Conference, 2012

A model-theoretic approach to data anonymity and inference control.
Proceedings of the Second ACM Conference on Data and Application Security and Privacy, 2012

2011
Leveraging social network for predicting demand and estimating available resources for communication network management.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, 2011

Skimming Video Action Using Annotated 3D Surfaces.
Proceedings of the 32nd Annual Conference of the European Association for Computer Graphics, 2011

Criticality avoidance: A new paradigm for congestion control based on science of phase transition.
Proceedings of the 7th International Conference on Network and Service Management, 2011

2010
Predicting End-to-end Network Load.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

SMO-Style Algorithms for Learning Using Privileged Information.
Proceedings of The 2010 International Conference on Data Mining, 2010

Attention Focusing Model for Nexting Based on Learning and Reasoning.
Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

2009
A new learning paradigm: Learning using privileged information.
Neural Networks, 2009

Learning using hidden information (Learning with teacher).
Proceedings of the International Joint Conference on Neural Networks, 2009

2007
Ortholog Clustering on a Multipartite Graph.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Combinatorial and statistical methods for part selection for object recognition.
Int. J. Comput. Math., 2007

Learning using hidden information: Master-class learning.
Proceedings of the Mining Massive Data Sets for Security, 2007

2006
Protein Function Annotation Based on Ortholog Clusters Extracted from Incomplete Genomes Using Combinatorial Optimization.
Proceedings of the Research in Computational Molecular Biology, 2006

Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Screening for Ortholog Clusters Using Multipartite Graph Clustering by Quasi-Concave Set Function Optimization.
Proceedings of the Rough Sets, 2005

Automatic Protein Function Annotation through Candidate Ortholog Clusters from Incomplete Genomes.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

A New Combinatorial Approach to Supervised Learning: Application to Gait Recognition.
Proceedings of the Analysis and Modelling of Faces and Gestures, 2005


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