Mixture Models from Multiresolution 0-1 Data

March 18 th 2012 Posters 1 ) Title : Mixture models from multiresolution 0 - 1 data

Probabilistic Modelling of Multiresolution Biological Data

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Prem Raj Adhikari Name of the doctoral dissertation Probabilistic Modelling of Multiresolution Biological Data Publisher School of Science Unit Department of Information and Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 157/2014 Field of research Information and Computer Science Manuscript ...

Multiresolution Mixture Modeling using Merging of Mixture Components

Observing natural phenomena at several levels of detail results in multiresolution data. Extending models and algorithms to cope with multiresolution data is a prerequisite for wide-spread exploitation of the data represented in the multiple resolutions. Mixture models are widely used probabilistic models, however, the mixture models in their standard form can be used to analyze the data repres...

Mixture Modelling of Multiresolution 0-1 Data

ii

Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees

Clustering is important in many elds including manufacturing, biology, nance, and astronomy. Mixture models are a popular approach due to their statistical foundations, and EM is a very popular method for nding mixture models. EM, however, requires many accesses of the data, and thus has been dismissed as impractical (e.g. (Zhang, Ramakrishnan, & Livny, 1996)) for data mining of enormous datase...