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ESOP
2011
Springer
14 years 10 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 10 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 10 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 10 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 10 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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