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Discovering Frequent Episodes : Fast Algorithms, Connections With HMMs And Generalizations
(2008-10-13)
Temporal data mining is concerned with the exploration of large sequential (or temporally ordered) data sets to discover some nontrivial information that was previously unknown to the data owner. Sequential data sets come ...
Segmentation Strategies for Scene Word Images
(2017-12-10)
Music And Speech Analysis Using The 'Bach' Scale Filter-Bank
(2009-08-13)
The aim of this thesis is to define a perceptual scale for the ‘Time-Frequency’ analysis of music signals. The equal tempered ‘Bach ’ scale is a suitable scale, since it covers most of the genres of music and the error is ...
Explicit Segmentation Of Speech For Indian Languages
(2010-07-02)
Speech segmentation is the process of identifying the boundaries between words, syllables or phones in the recorded waveforms of spoken natural languages. The lowest level of speech segmentation is the breakup and ...
Methods for Text Segmentation from Scene Images
(2017-09-27)
Recognition of text from camera-captured scene/born-digital images help in the development of aids for the blind, unmanned navigation systems and spam filters. However, text in such images is not confined to any page layout, ...
Multiview Face Detection And Free Form Face Recognition For Surveillance
(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 ...
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 ...
Explainable and Efficient Neural Models for Natural Language to Bash Command Translation
One of the key goals of Natural Language Processing is to make computers understand natural language. Semantic Parsing has been one of the driving tasks for Natural Language Understanding. It is formally defined as the ...
Power Efficient Last Level Cache For Chip Multiprocessors
(2015-09-09)
The number of processor cores and on-chip cache size has been increasing on chip multiprocessors (CMPs). As a result, leakage power dissipated in the on-chip cache has become very significant. We explore various techniques ...
Boxicity, Cubicity And Vertex Cover
(2010-09-28)
The boxicity of a graph G, denoted as box(G), is the minimum dimension d for which each vertex of G can be mapped to a d-dimensional axis-parallel box in Rd such that two boxes intersect if and only if the corresponding ...