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    Neural Architectures For Active Contour Modelling And For Pulse-Encoded Shape Recognition 

    Rishikesh, N (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 ...

    Multiview Face Detection And Free Form Face Recognition For Surveillance 

    Anoop, K R (2014-10-15)
    The problem of face detection and recognition within a given database has become one of the important problems in computer vision. A simple approach for Face Detection in video is to run a learning based face detector every ...

    Language Identification Through Acoustic Sub-Word Units 

    Sai Jayram, A K V (2011-09-26)

    Optimal Pilot Tones For Interleaved Orthogonal Frequency Division Multiplexing Systems 

    Vinod, T S (2011-05-16)

    Performance Analysis Of Multiple Access Schemes In A Wireless Packet Network 

    Sant, Jeetendra C (2013-07-29)

    Supervised Learning of Piecewise Linear Models 

    Manwani, Naresh (2018-03-07)
    Supervised learning of piecewise linear models is a well studied problem in machine learning community. The key idea in piecewise linear modeling is to properly partition the input space and learn a linear model for every ...

    Codes With Locality For Distributed Data Storage 

    Moorthy, Prakash Narayana (2017-07-26)
    This thesis deals with the problem of code design in the setting of distributed storage systems consisting of multiple storage nodes, storing many different data les. A primary goal in such systems is the efficient repair ...

    Coding Schemes For Distributed Subspace Computation, Distributed Storage And Local Correctability 

    Vadlamani, Lalitha (2017-07-24)
    In this thesis, three problems have been considered and new coding schemes have been devised for each of them. The first is related to distributed function computation, the second to coding for distributed storage and the ...

    Belief Propagation and Algorithms for Mean-Field Combinatorial Optimisations 

    Khandwawala, Mustafa (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 ...

    A Systems Perspective of Software Runtime Bloat - Origin, Mitigation and Power-Performance Implications 

    Bhattacharya, Suparna (2018-03-08)
    Large flexible software systems tend to incur “bloat”, here defined as the runtime overhead induced by the accumulation of excess functionality and objects. Removing bloat is hard as these overheads are a side-effect of ...
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    AuthorBharadwaj, Subramanya B V (2)Ranganath, B N (2)Ravindar, Archana (2)Srikanth, Cherukupally (2)Tudu, Jaynarayan Thakurdas (2)Achar, Avinash (1)Acharya, Aravind N (1)Agrawal, Akanksha (1)Agrawal, Vipul (1)Ajith, S (1)... View MoreSubject
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    Machine Learning (14)Coding Theory (6)Game Theory (6)Graph Theory (6)Cryptography (5)Compilers (4)Computational Geometry (4)Computer Architecture (4)Computer Networks (4)... View MoreDate Issued2018 (76)2011 (28)2017 (24)2013 (22)2012 (18)2010 (14)2014 (14)2015 (5)2016 (2)Has File(s)
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