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NIPS
2008
13 years 10 months ago
Deep Learning with Kernel Regularization for Visual Recognition
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
Kai Yu, Wei Xu, Yihong Gong
CSDA
2008
179views more  CSDA 2008»
13 years 9 months ago
A note on adaptive group lasso
Group lasso is a natural extension of lasso and selects variables in a grouped manner. However, group lasso suffers from estimation inefficiency and selection inconsistency. To re...
Hansheng Wang, Chenlei Leng
JMLR
2010
136views more  JMLR 2010»
13 years 3 months ago
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
Ming Yuan
OSN
2008
88views more  OSN 2008»
13 years 9 months ago
Grade-of-service differentiated static resource allocation schemes in WDM networks
This paper presents a study on the Grade-of-Service (GoS) differentiation of static resource allocation in lightpath routed WDM networks, where lightpath requests between node pai...
James Yiming Zhang, Jing Wu, Gregor von Bochmann, ...
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
14 years 3 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...