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ICML
2010
IEEE
15 years 6 months ago
Simple and Efficient Multiple Kernel Learning by Group Lasso
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
CVPR
2010
IEEE
15 years 5 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
TEC
2008
139views more  TEC 2008»
15 years 5 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
JELIA
2010
Springer
15 years 3 months ago
Decomposition of Distributed Nonmonotonic Multi-Context Systems
Multi-Context Systems (MCS) are formalisms that enable the interlinkage of single knowledge bases, called contexts, via bridge rules. Recently, the evaluation of heterogeneous, no...
Seif El-Din Bairakdar, Minh Dao-Tran, Thomas Eiter...
TOG
2012
193views Communications» more  TOG 2012»
13 years 7 months ago
Selectively de-animating video
We present a semi-automated technique for selectively deanimating video to remove the large-scale motions of one or more objects so that other motions are easier to see. The user ...
Jiamin Bai, Aseem Agarwala, Maneesh Agrawala, Ravi...