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HYBRID
2010
Springer
15 years 3 months ago
A generating function approach to the stability of discrete-time switched linear systems
Exponential stability of switched linear systems under both arbitrary and proper switching is studied through two suitably defined families of functions called the strong and the...
Jianghai Hu, Jinglai Shen, Wei Zhang
JMLR
2012
13 years 16 days ago
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
CORR
2010
Springer
188views Education» more  CORR 2010»
14 years 10 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
ICMCS
2005
IEEE
81views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Multiple Objective Frame Rate Up Conversion
In this paper, we propose a multiple objective frame rate up conversion algorithm (MOFRUC), which utilizes two different models. The first model is a constant velocity model that ...
Tak-Song Chong, Oscar C. Au, Wing-San Chau, Tai-Wa...
TNN
2008
82views more  TNN 2008»
14 years 10 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...