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JMLR
2012
13 years 3 months ago
Minimax Rates of Estimation for Sparse PCA in High Dimensions
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
Vincent Q. Vu, Jing Lei
110
Voted
ACL
2012
13 years 3 months ago
NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation
We present a new open source toolkit for phrase-based and syntax-based machine translation. The toolkit supports several state-of-the-art models developed in statistical machine t...
Tong Xiao, Jingbo Zhu, Hao Zhang, Qiang Li
CVPR
2004
IEEE
16 years 2 months ago
Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications
In this paper, we propose a robust model selection criterion for mixtures of subspaces called minimum effective dimension (MED). Previous information-theoretic model selection cri...
Kun Huang, René Vidal, Yi Ma
ICDCS
2005
IEEE
15 years 6 months ago
Resilient Localization for Sensor Networks in Outdoor Environments
The process of computing the physical locations of nodes in a wireless sensor network is known as localization. Selflocalization is critical for large-scale sensor networks becaus...
YoungMin Kwon, Kirill Mechitov, Sameer Sundresh, W...
IPPS
2000
IEEE
15 years 5 months ago
A Surface-Based DNA Algorithm for the Expansion of Symbolic Determinants
In the past few years since Adleman’s pioneering work on solving the HPP(Hamiltonian Path Problem) with a DNA-based computer [1], many algorithms have been designed on solving NP...
Zhiquan Frank Qiu, Mi Lu