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ACCV
2010
Springer
15 years 1 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
JMLR
2010
93views more  JMLR 2010»
15 years 1 months ago
Interactive Pattern Recognition and Human Language Technology for Digital Audiovisual Content Processing
This paper describes ongoing research work by the Pattern Recognition and Human Language Technology (PRHLT) group (UPV PASCAL2 node) in two important technology transfer projects:...
Antonio L. Lagarda, Jorge Civera, Alfons Juan, Fra...
ICASSP
2011
IEEE
14 years 10 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
CVPR
2012
IEEE
13 years 9 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
PR
2006
113views more  PR 2006»
15 years 6 months ago
Face recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...