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» Spectral Clustering and Embedding with Hidden Markov Models
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ICASSP
2011
IEEE
12 years 10 months ago
A new method for visual stylometry on impressionist paintings
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Hanchao Qi, Shannon Hughes
KAIS
2011
129views more  KAIS 2011»
13 years 1 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
TSP
2008
167views more  TSP 2008»
13 years 4 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
BMCBI
2011
13 years 1 months ago
Detection of viral sequence fragments of HIV-1 subfamilies yet unknown
Background: Methods of determining whether or not any particular HIV-1 sequence stems - completely or in part - from some unknown HIV-1 subtype are important for the design of vac...
Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bull...
FLAIRS
2009
13 years 4 months ago
Analyzing Team Actions with Cascading HMM
While team action recognition has a relatively extended literature, less attention has been given to the detailed realtime analysis of the internal structure of the team actions. ...
Brandyn Allen White, Nate Blaylock, Ladislau B&oum...