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» Computing regularization paths for learning multiple kernels
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CVPR
2007
IEEE
14 years 9 months ago
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
PAMI
2011
12 years 10 months ago
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
— This paper addresses how to model and correct image blur that arises when a camera undergoes ego motion while observing a distant scene. In particular, we discuss how the blurr...
Yu-Wing Tai, Ping Tan, Michael S. Brown
SC
2009
ACM
14 years 2 months ago
Implementing sparse matrix-vector multiplication on throughput-oriented processors
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations enc...
Nathan Bell, Michael Garland
ECCV
2010
Springer
14 years 3 days ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
CVPR
2010
IEEE
14 years 3 months ago
Visual Event Recognition in Videos by Learning from Web Data
We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
Lixin Duan, Dong Xu, Wai-Hung Tsang, Jiebo Luo