Browsing by Subject "Machine learning"
Now showing items 1-8 of 8
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3D shape deformations : a lie group based approach
(Dhirubhai Ambani Institute of Information and Communication Technology, 2020)3D shapes are ubiquitous in many fundamental tasks of computer graphics and geometry processing. For many applications, new shapes have to be generated from the existing ones, for which it it imperative to understand and ... -
Deep learning techniques for speech pathology applications
(2020)Human-machine interaction has gained more attention due to its interesting applications in industries and day-to-day life. In recent years, speech technologies have grown rapidly because of the advancement in fields of ... -
Human action recognition in video
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ... -
Imbalanced bioassay data classification for drug discovery
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)All the methods developed for pattern recognition will show inferior performance if the dataset presented to it is imbalanced, i.e. if the samples belonging to one class are much more in number compared to the samples ... -
Learning cross domain relations using deep learning
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)The Generative Adversarial Networks (GAN) have achieved exemplary performance in generating realistic images. They also perform image to image translation and produce good results for the same. In this thesis, we explore ... -
Learning to rank: using Bayesian networks
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)Ranking is one of the key components of an Information Retrieval system. Recently supervised learning is involved for learning the ranking function and is called 'Learning to Rank' collectively. In this study we present ... -
Moment based image segmentation
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)Usually, digital image of scene is not same as actual; it may degrade because of environment, camera focus, lightening conditions, etc. Segmentation is the key step before performing other operations like description, ... -
Study of bayesian learning of system characteristics
(Dhirubhai Ambani Institute of Information and Communication Technology, 2008)This thesis report basically deals with the scheduling algorithms implemented in our computer systems and about the creation of probabilistic network which predicts the behavior of system. The aim of this thesis is to ...