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    Browsing Computer Science and Automation (CSA) by thesis submitted date 
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    • Computer Science and Automation (CSA)
    • Browsing Computer Science and Automation (CSA) by thesis submitted date
    •   etd@IISc
    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Computer Science and Automation (CSA)
    • Browsing Computer Science and Automation (CSA) by thesis submitted date
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    Browsing Computer Science and Automation (CSA) by thesis submitted date"2017"

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    Now showing items 1-20 of 33

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      • Approximation Algorithms for Geometric Packing and Covering Problems 

        Roy, Aniket Basu
        We study a host of geometric optimization problems that are NP-hard and design polynomial time approximation algorithms for them. More precisely, we are given a family of geometric objects and a point set, mostly in the ...
      • Automatic Optimization of Geometric Multigrid Methods using a DSL Approach 

        Vasista, Vinay V (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 ...
      • Compilation of Graph Algorithms for Hybrid, Cross-Platform and Distributed Architectures 

        Patel, Parita (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 ...
      • Concurrency Analysis and Mining Techniques for APIs 

        Santhiar, Anirudh (2018-06-13)
        Software components expose Application Programming Interfaces (APIs) as a means to access their functionality, and facilitate reuse. Developers use APIs supplied by programming languages to access the core data structures ...
      • Deep Learning with Minimal Supervision 

        Pandey, Gaurav
        Abstract In recent years, deep neural networks have achieved extraordinary performance on supervised learning tasks. Convolutional neural networks (CNN) have vastly improved the state of the art for most computer vision ...
      • Design of Quality Assuring Mechanisms with Learning for Strategic Crowds 

        Satyanath Bhat, K (2018-05-23)
        In this thesis, we address several generic problems concerned with procurement of tasks from a crowd that consists of strategic workers with uncertainty in their qualities. These problems assume importance as the quality ...
      • Efficient Static Analyses for Concurrent Programs 

        Mukherjee, Suvam (2018-06-29)
        Concurrent programs are pervasive owing to the increasing adoption of multi-core systems across the entire computing spectrum. However, the large set of possible program behaviors make it difficult to write correct and ...
      • Efficient Whole Program Path Tracing 

        Sridhar, G (2018-06-14)
        Obtaining an accurate whole program path (WPP) that captures a program’s runtime behaviour in terms of a control-flow trace has a number of well-known benefits, including opportunities for code optimization, bug detection, ...
      • Falcon : A Graph Manipulation Language for Distributed Heterogeneous Systems 

        Cheramangalath, Unnikrishnan (2018-08-20)
        Graphs model relationships across real-world entities in web graphs, social network graphs, and road network graphs. Graph algorithms analyze and transform a graph to discover graph properties or to apply a computation. ...
      • Fast Actively Secure OT Extension for Short Secrets 

        Ajith, S (2018-05-25)
        Oblivious Transfer (OT) is one of the most fundamental cryptographic primitives with wide-spread application in general secure multi-party computation (MPC) as well as in a number of tailored and special-purpose problems ...
      • Feature Selection under Multicollinearity & Causal Inference on Time Series 

        Bhattacharya, Indranil (2018-08-20)
        In this work, we study and extend algorithms for Sparse Regression and Causal Inference problems. Both the problems are fundamental in the area of Data Science. The goal of regression problem is to nd out the \best" ...
      • A Fine-Grained Dynamic Information Flow Analysis for Android Apps 

        Sankaran, Shyam (2018-08-20)
        Android has been steadily gaining popularity ever since its launch in 2008. One of the major factors for this is the easy availability of a large variety of apps. They range from simple apps such as calculator apps to apps ...
      • Generalization of Hitting, Covering and Packing Problems on Intervals 

        Datta Krupa, R (2018-05-29)
        Interval graphs are well studied structures. Intervals can represent resources like jobs to be sched-uled. Finding maximum independent set in interval graphs would correspond to scheduling maximum number of non-conflicting ...
      • Grobuer Basis Algorithms for Polynomial Ideal Theory over Noetherian Commutative Rings 

        Francis, Maria (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 ...
      • Heterogeneity Aware Shared DRAM Cache for Integrated Heterogeneous Architectures 

        Patil, Adarsh
        Integrated Heterogeneous System (IHS) processors pack throughput-oriented GPGPUs along-side latency-oriented CPUs on the same die sharing certain resources, e.g., shared last level cache, network-on-chip (NoC), and the ...
      • An Improved Lower Bound for Depth four Arithmetic Circuits 

        Sharma, Abhijat (2018-05-29)
        We study the problem of proving lower bounds for depth four arithmetic circuits. Depth four circuits have been receiving much attraction when it comes to recent circuit lower bound results, as a result of the series of ...
      • An Improved Lower Bound for Multi-r-ic Depth Four Circuits as a Function of the Number of Input Variables 

        Hegde, Sumant
        In this work we study the multi-r-ic formula model introduced by [KS15c] and improve upon the lower bound for multi-r-ic depth four circuits given in [KST16b], when viewed as a function of the number of input variables ...
      • Incentive Design for Crowdfunding and Crowdsourcing Markets 

        Praphul Chandra, * (2018-05-23)
        With the ever-increasing trend in the number of social interactions getting intermediated by technology (the world wide web) as the backdrop, this thesis focuses on the design of mechanisms for online communities (crowds) ...
      • Large Scale Graph Processing in a Distributed Environment 

        Upadhyay, Nitesh (2018-05-25)
        Graph algorithms are ubiquitously used across domains. They exhibit parallelism, which can be exploited on parallel architectures, such as multi-core processors and accelerators. However, real world graphs are massive in ...
      • Learning Tournament Solutions from Preference-based Multi-Armed Bandits 

        Siddartha, Y R
        We consider the dueling bandits problem, a sequential decision task where the goal is to learn to pick `good' arms out of an available pool by actively querying for and observing relative preferences between selected pairs ...

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