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ICASSP
2008
IEEE
15 years 11 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
148
Voted
CHI
1994
ACM
15 years 9 months ago
User learning and performance with marking menus
A marking menu is designed to allow a user to perform a menu selection by either popping-up a radial (or pie) menu, or by making a straight mark in the direction of the desired me...
Gordon Kurtenbach, William Buxton
144
Voted
CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 5 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
TEI
2010
ACM
102views Hardware» more  TEI 2010»
15 years 12 months ago
Tangibles in the balance: a discovery learning task with physical or graphical materials
An assumption behind much work on the use of tangibles for learning is that there are individual cognitive benefits related to the physical manipulation of materials. However, pr...
Paul Marshall, Peter C.-H. Cheng, Rosemary Luckin
SAC
2009
ACM
15 years 12 months ago
Music retrieval based on a multi-samples selection strategy for support vector machine active learning
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...
Tian-Jiang Wang, Gang Chen, Perfecto Herrera