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JMLR
2010
121views more  JMLR 2010»
14 years 8 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
TSP
2010
14 years 8 months ago
Sampling from a system-theoretic viewpoint part II: noncausal solutions
This paper puts to use concepts and tools introduced in Part I to address a wide spectrum of noncausal sampling and reconstruction problems. Particularly, we follow the systemtheor...
Gjerrit Meinsma, Leonid Mirkin
145
Voted
CVIU
2011
14 years 5 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla
85
Voted
CAL
2011
14 years 1 months ago
Heterogeneity in "Homogeneous" Warehouse-Scale Computers: A Performance Opportunity
—The class of modern datacenters recently coined as “warehouse scale computers” (WSCs) has traditionally been embraced as homogeneous computing platforms. However, due to fre...
Jason Mars, Lingjia Tang, Robert Hundt
CVPR
2001
IEEE
16 years 3 months ago
Bayesian Color Constancy for Outdoor Object Recognition
Outdoor scene classification is challenging due to irregular geometry, uncontrolled illumination, and noisy reflectance distributions. This paper discusses a Bayesian approach to ...
Yanghai Tsin, Robert T. Collins, Visvanathan Rames...