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ECCV
2008
Springer
14 years 6 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
ECAI
2004
Springer
13 years 10 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
ISMAR
2002
IEEE
13 years 9 months ago
Practical Solutions for Calibration of Optical See-Through Devices
One of the most crucial tasks in a see-through augmented reality (AR) system is to register the virtual objects with the real world through a transparent display. The importance s...
Yakup Genc, Mihran Tuceryan, Nassir Navab
JOCN
2010
86views more  JOCN 2010»
13 years 3 months ago
Neural Basis of Repetition Priming during Mathematical Cognition: Repetition Suppression or Repetition Enhancement?
■ We investigated the neural basis of repetition priming (RP) during mathematical cognition. Previous studies of RP have focused on repetition suppression as the basis of behavi...
Valorie N. Salimpoor, Catie Chang, Vinod Menon
ECCV
2006
Springer
14 years 6 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang