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COLT
2007
Springer
16 years 23 days ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro
ICANN
2007
Springer
16 years 22 days ago
Sparse and Transformation-Invariant Hierarchical NMF
The hierarchical non-negative matrix factorization (HNMF) is a multilayer generative network for decomposing strictly positive data into strictly positive activations and base vect...
Sven Rebhan, Julian Eggert, Horst-Michael Gro&szli...
ICRA
2006
IEEE
95views Robotics» more  ICRA 2006»
16 years 19 days ago
Stability Analysis and Control Law Design for Acrobots
— This paper presents a novel control strategy based on a non-smooth Lyapunov function to guarantee the stability of the system in the whole motion space. Three control laws that...
Xu-Zhi Lai, Jin-Hua She, Simon X. Yang, Min Wu
ISER
2004
Springer
142views Robotics» more  ISER 2004»
15 years 12 months ago
Design and Modeling of a Selective-Actuation XYZ Flexure Parallel Mechanism
This paper presents the design of a selective-actuation flexure parallel mechanism that can provide three independent translational motions. The mechanism can be used as an ultra p...
Huy-Hoang Pham, I-Ming Chen
ICPR
2002
IEEE
15 years 11 months ago
Determining a Suitable Metric when Using Non-Negative Matrix Factorization
The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a region- or partbased representation of o...
David Guillamet, Jordi Vitrià