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ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
16 years 26 days ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
HAPTICS
2002
IEEE
15 years 11 months ago
Human Kinematic Factor for Haptic Manipulation: The Wrist to Thumb
The range of human kinematic motion as well as force resolution should be known for design of a haptic device. In addition, a haptic interface can be designed more easily when mas...
Keehoon Kim, Youngil Youm, Wan Kyun Chung
ISCI
2006
58views more  ISCI 2006»
15 years 6 months ago
Streaming data reduction using low-memory factored representations
Many special purpose algorithms exist for extracting information from streaming data. Constraints are imposed on the total memory and on the average processing time per data item....
David Littau, Daniel Boley
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 4 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
CVPR
2011
IEEE
15 years 1 months ago
High-resolution Hyperspectral Imaging via Matrix Factorization
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
Rei Kawakami, John Wright, Yu-Wing Tai, Yasuyuki M...