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111
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ICML
2010
IEEE
15 years 1 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
103
Voted
ICML
2010
IEEE
15 years 1 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...
109
Voted
CVPR
2010
IEEE
15 years 23 days ago
Free-form mesh tracking: A patch-based approach
In this paper, we consider the problem of tracking nonrigid surfaces and propose a generic data-driven mesh deformation framework. In contrast to methods using strong prior models...
Cedric Cagniart, Edmond Boyer, Slobodan Ilic
114
Voted
ICASSP
2010
IEEE
15 years 22 days ago
Motion estimation from compressed linear measurements
This paper presents a novel algorithm for computing the relative motion between images from compressed linear measurements. We propose a geometry based correlation model that desc...
Vijayaraghavan Thirumalai, Pascal Frossard
87
Voted
ICDE
2010
IEEE
221views Database» more  ICDE 2010»
15 years 22 days ago
A generic auto-provisioning framework for cloud databases
— We discuss the problem of resource provisioning for database management systems operating on top of an Infrastructure-As-A-Service (IaaS) cloud. To solve this problem, we descr...
Jennie Rogers, Olga Papaemmanouil, Ugur Çet...
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