Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
PDF Tools
Image Tools
Text Tools
OCR Tools
Symbol and Emoji Tools
On-screen Keyboard
Latex Math Equation to Image
Smart IPA Phonetic Keyboard
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
100
click to vote
IDA
2010
Springer
135
views
Information Technology
»
more
IDA 2010
»
Relevant subtask learning by constrained mixture models
15 years 1 months ago
Download
research.ics.tkk.fi
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
Real-time Traffic
IDA 2010
|
Information Technology
|
claim paper
Related Content
»
Learning from Relevant Tasks Only
»
Manifold Constrained Finite Gaussian Mixtures
»
A Hybrid Method for Opinion finding Task KUNLP at TREC 2008 Blog Track
»
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models
»
A Privacy Preserving Framework for Gaussian Mixture Models
»
Discriminative Gaussian Mixture Models A Comparison with Kernel Classifiers
»
Confidencebased policy learning from demonstration using Gaussian mixture models
»
Active relevance feedback for difficult queries
»
Tissue Classification of Noisy MR Brain Images Using Constrained GMM
more »
Post Info
More Details (n/a)
Added
26 Jan 2011
Updated
26 Jan 2011
Type
Journal
Year
2010
Where
IDA
Authors
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision