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JMLR
2010
155views more  JMLR 2010»
14 years 10 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
SIGOPS
2010
113views more  SIGOPS 2010»
14 years 10 months ago
Energy proportionality for storage: impact and feasibility
This paper highlights the growing importance of storage energy consumption in a typical data center, and asserts that storage energy research should drive towards a vision of ener...
Jorge Guerra, Wendy Belluomini, Joseph S. Glider, ...
TNN
2010
173views Management» more  TNN 2010»
14 years 10 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
ICASSP
2011
IEEE
14 years 7 months ago
A regularization framework for mobile social network analysis
Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and f...
Xiaowen Dong, Pascal Frossard, Pierre Vandergheyns...
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ICASSP
2011
IEEE
14 years 7 months ago
Polar randomized hough transform for lane detection using loose constraints of parallel lines
In this paper, we propose a new methodology for detecting lane markers that exploits the parallel nature of lane boundaries on the road. First, the input image is pre-processed an...
Amol Borkar, Monson Hayes, Mark T. Smith