Search
Now showing items 1-10 of 76
Multi-label Classification with Multiple Label Correlation Orders And Structures
(2018-06-18)
Multilabel classification has attracted much interest in recent times due to the wide applicability of the problem and the challenges involved in learning a classifier for multilabeled data. A crucial aspect of multilabel ...
Distributed TDMA-Scheduling and Schedule-Compaction Algorithms for Efficient Communication in Wireless Sensor Networks
(2018-05-16)
A wireless sensor network (WSN) is a collection of sensor nodes distributed over a geographical region to obtain the environmental data. It can have different types of applications ranging from low data rate event driven ...
Algorithmic and Combinatorial Questions on Some Geometric Problems on Graphs
(2018-05-08)
This thesis mainly focuses on algorithmic and combinatorial questions related to some geometric problems on graphs. In the last part of this thesis, a graph coloring problem is also discussed.
Boxicity and Cubicity: These ...
Bayesian Nonparametric Modeling of Temporal Coherence for Entity-Driven Video Analytics
(2018-05-14)
In recent times there has been an explosion of online user-generated video content. This has generated significant research interest in video analytics. Human users understand videos based on high-level semantic ...
New Methods for Learning from Heterogeneous and Strategic Agents
(2018-05-21)
1 Introduction
In this doctoral thesis, we address several representative problems that arise in the context of learning from multiple heterogeneous agents. These problems are relevant to many modern applications such as ...
Grobuer Basis Algorithms for Polynomial Ideal Theory over Noetherian Commutative Rings
(2018-05-14)
One of the fundamental problems in commutative algebra and algebraic geometry is to understand the nature of the solution space of a system of multivariate polynomial equations over a field k, such as real or complex ...
Efficient Algorithms for Structured Output Learning
(2018-05-08)
Structured output learning is the machine learning task of building a classifier to predict structured outputs. Structured outputs arise in several contexts in diverse applications like natural language processing, computer ...
Algorithms for Product Pricing and Energy Allocation in Energy Harvesting Sensor Networks
(2018-05-09)
In this thesis, we consider stochastic systems which arise in different real-world application contexts. The first problem we consider is based on product adoption and pricing. A monopolist selling a product has to appropriately ...
Efficient Schemes for Improving the Performance of Clock Synchronization Protocols in Wireless Sensor Networks Using TDMA- based MAC Protocols
(2018-05-16)
Clock synchronization in a wireless sensor network (WSN) is essential as it provides
a consistent and a coherent time frame for all the nodes across the network. Typically,
clock synchronization is achieved by message ...
Compilation of Graph Algorithms for Hybrid, Cross-Platform and Distributed Architectures
(2018-07-09)
1. Main Contributions made by the supplicant:
This thesis proposes an Open Computing Language (OpenCL) framework to address the challenges of implementation of graph algorithms on parallel architectures and large scale ...

