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ETS
2008
IEEE
70views Hardware» more  ETS 2008»
13 years 5 months ago
Training in Spatial Visualization: The Effects of Training Method and Gender
Ahmad Rafi, Khairul Anuar Samsudin, Che Soh Said
ECCV
2008
Springer
14 years 7 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
ISMAR
2009
IEEE
14 years 12 days ago
Advanced training methods using an Augmented Reality ultrasound simulator
Ultrasound (US) is a medical imaging modality which is extremely difficult to learn as it is user-dependent, has low image quality and many artifacts that depend on the viewing d...
Tobias Blum, Sandro Michael Heining, Oliver Kutter...
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
13 years 9 months ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu
ECCV
2006
Springer
14 years 7 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher