Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 848-867 of 1710
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Joint Spectro-Temporal Analysis of Moving Acoustic Sources
Signals generated by fast moving acoustic sources are both challenging for analysis as well as rich in information. The motion is conceptually relative between the source and receiver i.e., either one of them is moving or ... -
Kernel Methods Fast Algorithms and real life applications
(Indian Institute of Science, 2005-02-08)Support Vector Machines (SVM) have recently gained prominence in the field of machine learning and pattern classification (Vapnik, 1995, Herbrich, 2002, Scholkopf and Smola, 2002). Classification is achieved by finding a ... -
Kernel-Based Image Filtering: Fast Algorithms and Applications
Image filtering is a fundamental preprocessing task in computer vision and image processing. Various linear and nonlinear filters are routinely used for enhancement, upsampling, sharpening, reconstruction, etc. The focus ... -
Key Distribution In Wireless Sensor Networks
(2010-06-09)In the last few years, wireless sensor networks (WSNs) have become a very actively researched area. The impetus for this spurt of interest were developments in wireless technologies and low-cost VLSI, that made it possible ... -
Knowledge Representation Framework For A Web-based Intelligent Tutoring System For Engineering Courses
(2010-10-08)Tutoring is one of the most effective instruction methods. Computer as an Intelligent Tutor is an area of research since many decades. Technology advancement in Information and Communication Technology (ICT) can be used ... -
knowledge teaching : an alternative strategy for knowkedge-base development
The development of knowledge-based systems relies heavily on the transfer of human expertise into a structured knowledge base - a process known as knowledge acquisition or knowledge elicitation. This process is widely ... -
A Knowledge-Based Approach To Pattern Clustering
(Indian Institute of Science, 2005-03-11)The primary objective of this thesis is to develop a methodology for clustering of objects based on their functionality typified by the notion of concept. We begin by giving a formal definition of concept. By assigning a ... -
Knowledge-based approach to pattern clustering.
The primary objective of this thesis is to develop a methodology for clustering of objects based on their functionality, typified by the notion of concept. We begin by giving a formal definition of concept. By assigning a ... -
Knowledge-based mining of multi-database for associations
Knowledge Discovery in Databases (KDD) uses knowledge engineering tools and database technology to extract hidden patterns from databases. Data mining is a step in the KDD process that finds useful patterns in the data. ... -
Knowledge-based preanalysis for multilevel clustering
Multilevel clustering offers the cluster analyst flexibility of choosing different algorithms at different levels with the possibility of reducing overall computational effort in comparison with the single-level application ... -
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating appropriate image processing techniques in a deep learning framework. We have proposed, implemented and tested efficient ... -
L2-stability analysis of feedback systems via positive operator theory Thesis submitted for the Degree of Doctor of Philosophy in the faculty of Engineering
This investigation is concerned with developing L2L_2L2?-stability criteria for deterministic continuous?time dynamical systems consisting of a cascade of operators in L2L_2L2?, in a single negative?feedback loop. The ... -
Label Efficient and Generalizable No-reference Video Quality Assessment
No-reference (NR) video quality assessment (VQA) refers to the study of the quality of degraded videos without the need for reference pristine videos. The problem has wide applications ranging from the quality assessment ... -
Labelled clustering and its applications
Clustering is a process of grouping a collection of objects. Clustering approaches can be broadly categorized into conventional and knowledge-based approaches. In a conventional approach, objects are typically represented ... -
Lambda Bipolar Transistor (LBT) in Static Random Access Memory Cell
(Indian Institute of Science, 2005-07-07)With a view to reduce the number of components in a Static Random Access Memory (SRAM) cell, the feasibility of use of Lambda Bipolar Transistor (LBT)in the bistable element of the cell has been explored under the present ... -
Language Identification Through Acoustic Sub-Word Units
(2011-09-26) -
Language Support for Exploiting Software Structure Specifications
(Indian Institute of Science, 2005-02-16)Precise specification of the architecture and design of software is a good practice. Such specifications contain a lot of information about the software that can potentially be exploited by tools, to reduce redundancy ... -
Language Support for Exploiting Software Structure Specifications
Precise specification of the architecture and design of software is a good practice. Such specifications contain a lot of information about the software that can potentially be exploited by tools to reduce redundancy in ... -
Language Support For Testing CORBA Based Applications
(Indian Institute of Science, 2005-12-07)Component Based Development has emerged as economical, reusable, scalable way of developing enterprise as well as embedded software applications. Testing distributed component based systems is difficult when third party ... -
Large Data Clustering And Classification Schemes For Data Mining
(2009-03-20)Data Mining deals with extracting valid, novel, easily understood by humans, potentially useful and general abstractions from large data. A data is large when number of patterns, number of features per pattern or both are ...