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ESOP
2011
Springer
14 years 8 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
EWSN
2011
Springer
14 years 8 months ago
Opportunistic Packet Scheduling in Body Area Networks
Significant research efforts are being devoted to Body Area Networks (BAN) due to their potential for revolutionizing healthcare practices. Energy-efficiency and communication re...
Kumar Shashi Prabh, Jan-Hinrich Hauer
FTCGV
2011
122views more  FTCGV 2011»
14 years 8 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
IJON
2011
186views more  IJON 2011»
14 years 8 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia
INFFUS
2011
82views more  INFFUS 2011»
14 years 8 months ago
Joint ego-motion and road geometry estimation
We provide a sensor fusion framework for solving the problem of joint ego-motion and road geometry estimation. More specifically we employ a sensor fusion framework to make syste...
Christian Lundquist, Thomas B. Schön
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