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CVPR
2009
IEEE
15 years 2 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
CVPR
2006
IEEE
14 years 9 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman
ICIP
2003
IEEE
14 years 9 months ago
Towards a theory for video coding using distributed compression principles
Thispaper presents an information-theoreticstudy ofvideo codecs that are based on the principle of source coding with side information at the decoder In contrast to the classical ...
Prakash Ishwar, Vinod M. Prabhakaran, Kannan Ramch...
ICML
2003
IEEE
14 years 8 months ago
Principled Methods for Advising Reinforcement Learning Agents
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
ICASSP
2008
IEEE
14 years 1 months ago
The extended invariance principle applied to joint time-delay, frequency, and DOA estimation
This paper deals with the joint estimation of temporal (timedelay, Doppler frequency) and spatial (direction-of-arrival, DOA) parameters of several replicas of a known signal in a...
Felix Antreich, Josef A. Nossek, Gonzalo Seco, A. ...