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ECCV
2008
Springer
16 years 5 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...
ICASSP
2011
IEEE
14 years 6 months ago
A new method for visual stylometry on impressionist paintings
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Hanchao Qi, Shannon Hughes
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 10 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
SIGOPS
2010
162views more  SIGOPS 2010»
15 years 1 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
MLMI
2007
Springer
15 years 9 months ago
Meeting State Recognition from Visual and Aural Labels
In this paper we present a meeting state recognizer based on a combination of multi-modal sensor data in a smart room. Our approach is based on the training of a statistical model ...
Jan Curín, Pascal Fleury, Jan Kleindienst, ...