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JMLR
2002
115views more  JMLR 2002»
15 years 6 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
CORR
2010
Springer
98views Education» more  CORR 2010»
15 years 6 months ago
Structure-Aware Stochastic Control for Transmission Scheduling
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
Fangwen Fu, Mihaela van der Schaar
MICCAI
2010
Springer
15 years 5 months ago
Automatic Detection and Segmentation of Axillary Lymph Nodes
Lymph node detection and measurement is a difficult and important part of cancer treatment. In this paper we present a robust and effective learning-based method for the automatic...
Adrian Barbu, Michael Sühling, Xun Xu, David ...
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HCI
2009
15 years 4 months ago
Studying Reactive, Risky, Complex, Long-Spanning, and Collaborative Work: The Case of IT Service Delivery
Abstract. IT service delivery is challenging to study. It is characterized by interacting systems of technology, people, and organizations. The work is sometimes reactive, sometime...
Eser Kandogan, Eben M. Haber, John H. Bailey, Paul...
ICIG
2009
IEEE
15 years 4 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa