Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 100-119 of 1263
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Audio-Visual association learning in Humans and Multimodal Networks
We easily learn audiovisual associations when we give visual objects their names. While humans easily learn the names of new objects while retaining previously learned information, deep neural networks forget old ... -
Auditory Timbre and Spatialisation: Signal Analysis and Perception of Source Widening
In this work, auditory perception of source widening is examined in the context of different source signal timbre. Perception of widening of source or auditory source width (ASW) arises in three cases: (i) In the presence ... -
Automated Test Generation and Performance Improvement using Dynamic Program Analysis
Software development process consists of various stages like design, implementation, and testing. Since programmers are considerably involved in these stages, their intuition and expertise play a vital role in the success ... -
Automatic Data Allocation, Buffer Management And Data Movement For Multi-GPU Machines
(2017-05-24)Multi-GPU machines are being increasingly used in high performance computing. These machines are being used both as standalone work stations to run computations on medium to large data sizes (tens of gigabytes) and as a ... -
Automatic Data Partitioning By Hierarchical Genetic Search
(Indian Institute of Science, 2005-12-07)The introduction of languages like High Performance Fortran (HPF) which allow the programmer to indicate how the arrays used in the program have to be distributed across the local memories of a multi-computer has not ... -
Automatic Optimization of Geometric Multigrid Methods using a DSL Approach
(2018-06-14)Geometric Multigrid (GMG) methods are widely used in numerical analysis to accelerate the convergence of partial differential equations solvers using a hierarchy of grid discretizations. These solvers find plenty of ... -
Automatic speech recognition for low-resource Indian languages
Building good models for automatic speech recognition (ASR) requires large amounts of annotated speech data. Recent advancements in end-to-end speech recognition have aggravated the need for data. However, most Indian ... -
Automatic Speech Recognition Solutions For Resource Constrained Devices
The current realm of Automatic Speech Recognition (ASR) systems, pivotal in applications ranging from voice assistants to transcription services and assistive technologies, requires an improvement when confronted with ... -
Automatic Storage Optimization of Arrays Affine Loop Nests
(2018-03-01)Efficient memory usage is crucial for data-intensive applications as a smaller memory footprint ensures better cache performance and allows one to run a larger problem size given a axed amount of main memory. The solutions ... -
Autonomous Spacecraft Mission Planning And Execution In A Petri Net Framework
(2014-08-01)Presently, most spacecraft are controlled from ground involving activities such as up-linking the schedule of daily operations and monitoring health parameters. These activities lead to a cognitive overload on human ... -
Average Reward Actor-Critic with Deterministic Policy Search
The average reward criterion is relatively less studied as most existing works in the Reinforcement Learning literature consider the discounted reward criterion. There are few recent works that present on-policy average ... -
Ballast-Free Variable-Speed Generation for Standalone and Grid-Connected Micro-Hydel Power Plants
(2017-12-12)Concerns about climate change brought about by the increasing usage of fossil fuels has made it imperative to develop sustainable energy usage based on renewable sources. Micro-hydel plants are an important source of ... -
Bandit Algorithms: Fairness, Welfare, and Applications in Causal Inference
We study regret in online learning from a welfarist perspective and explore an application of bandit algorithms in causal inference. We introduce Nash regret, which measures the difference between the optimal action ... -
Battery Buffered Stiff Micro Grid Structure For A Variable Speed Slip Ring Induction Machine Based Wind Generation System
(2010-04-12)Electric power has become a basic necessity of human life. The major share of electric power comes from fossil fuel which results in global warming and pollution. A share of generated power comes from nuclear power which ... -
Battle of Bandits: Online Learning from Subsetwise Preferences and Other Structured Feedback
The elicitation and aggregation of preferences is often the key to making better decisions. Be it a perfume company wanting to relaunch their 5 most popular fragrances, a movie recommender system trying to rank the most ... -
Bayes Optimal Feature Selection for Supervised Learning
(2018-02-18)The problem of feature selection is critical in several areas of machine learning and data analysis such as, for example, cancer classification using gene expression data, text categorization, etc. In this work, we consider ... -
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 ... -
Bayesian Techniques for Joint Sparse Signal Recovery: Theory and Algorithms
This thesis contributes new theoretical results, solution concepts, and algorithms concerning the Bayesian recovery of multiple joint sparse vectors from noisy and underdetermined linear measurements. The thesis is written ... -
Behavior of Distance Relay Characteristics on Interconnecting Lines Fed From Wind Farms
(2018-05-14)Distance relays due to their selectivity and operating speed are used in HV/EHV line protection. The dynamic nature of Mho characteristic, which happens to be most primitive technique in line protection implemented with ... -
Belief Propagation and Algorithms for Mean-Field Combinatorial Optimisations
(2017-11-15)We study combinatorial optimization problems on graphs in the mean-field model, which assigns independent and identically distributed random weights to the edges of the graph. Specifically, we focus on two generalizations ...