Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 968-987 of 1575
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A Nash Bargaining Based Bid Optimizer for Sponsored Search Auctions
The on-line advertising market involving displaying of Ads against search results by a search engine is growing at a fast rate. A majority of the search engine companies sell their advertising space through auctions which ... -
Nature-inspired Algorithms for Automated Deployment of Outdoor IoT Networks
A vast majority of the Internet of Things (IoT) devices will be connected in a topology where the edge-devices push data to a local gateway, which forwards the data to a cloud for further processing. In sizeable outdoor ... -
Near-Duplicate Detection Using Instance Level Constraints
(2011-08-09)For the task of near-duplicate document detection, comparison approaches based on bag-of-words used in information retrieval community are not sufficiently accurate. This work presents novel approach when instance-level ... -
Neighborhood based algorithms for network problems
This thesis presents novel techniques for designing efficient algorithms to solve various graph problems, with a focus on both sequential and parallel computation models. The key contributions include: An O(dm)O(dm)O(dm) ... -
Network Centrality Measures And Their Applications
(2014-03-03)Study of complex networks by researchers from many disciplines has provided penetrating insights on various complex systems. A study of the world wide web from a network theoretic perspective has led to the design of new ... -
Network Coding for Wirless Relaying and Wireline Networks
(2017-12-10)Network coding has emerged as an attractive alternative to routing because of the through put improvement it provides by reducing the number of channel uses. In a wireless scenario, in addition, further improvement can be ... -
A Networked Control Systems Framework for Smart Grids with Integrated Communication
(2018-02-28)Over the last decade, power systems have evolved dramatically around the world, owing to higher demand, stringent requirements on quality and environmental concerns that are becoming increasingly critical. With the ... -
Networked information discovery and retrieval on the ERNET
Networked Information Discovery and Retrieval (NIDR) is the problem of locating information that is present on a network and making use of the located information. With the increase in volume and kind of information on ... -
Neural Approaches for Natural Language Query Answering over Source Code
During software development, developers need to ensure that the developed code is bug-free and the best coding practices are followed during the code development process. To guarantee this, the developers require answers ... -
Neural Architectures For Active Contour Modelling And For Pulse-Encoded Shape Recognition
(2014-09-12)An innate desire of many vision researchers IS to unravel the mystery of human visual perception Such an endeavor, even ~f it were not wholly successful, is expected to yield byproducts of considerable significance to ... -
Neural Models for Personalized Recommendation Systems with External Information
Personalized recommendation systems use the data generated by user-item interactions (for example, in the form of ratings) to predict different users interests in available items and recommend a set of items or products ... -
Neural networks for invariant recognition of 2-D objects
This thesis studies the problem of translation-, rotation- and size-invariant recognition of two-dimensional objects. This problem can be framed as follows: Given (i) a set of object descriptions in terms of either global ... -
Neural Representation Learning for Speech and Audio Signals
Representation learning is the branch of machine learning consisting of techniques that are capable of automatically discovering meaningful representations from raw data for efficient information extraction. In recent ... -
Neuromorphic Silicon Retinas: Analog and Digital Models
Silicon retinas are artificial retinal devices designed to replicate the functionality of the biological retina using silicon-based technologies. These retinas aim to address visual impairment by capturing and processing ... -
Neuromorphic Vision: Asynchronous and Sparse Processing of Event Camera Data
Modern systems, including edge computing, autonomous vehicles and robotics, face constraints, such as limited processing power and restricted battery energy, making computational efficiency a critical bottleneck for their ... -
Neuronal Dissimilarity Indices that Predict Oddball Detection in Behaviour
(2017-09-23)Our vision is as yet unsurpassed by machines because of the sophisticated representations of objects in our brains. This representation is vastly different from a pixel-based representation used in machine storages. It is ... -
New algorithm for linear tree pattern matching
Tree pattern matching is foundational to a wide variety of applications in Computer Science. We consider the problem of linear tree pattern matching and adopt a technique used for parsing context-free languages for this ... -
A New Algorithm For Linear Tree Pattern Matching
(2012-05-03) -
New Algorithmic and Hardness Results in Learning, Error Correcting Codes and Constraint Satisfaction Problems
Approximation algorithms are a natural way to deal with the intractability barrier that is inherent in many naturally arising computational problems. However, it is often the case that the task of solving the approximation ...