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ICML
2010
IEEE
13 years 9 months ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping
CVPR
2010
IEEE
13 years 8 months ago
Deconvolutional networks
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylo...
ICASSP
2010
IEEE
13 years 8 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
BIB
2007
53views more  BIB 2007»
13 years 8 months ago
Current Progress in computational metabolomics
Being a relatively new addition to the ‘omics’ field, metabolomics is still evolving its own computational infrastructure and assessing its own computational needs. Due to its...
David S. Wishart
CN
2006
88views more  CN 2006»
13 years 8 months ago
Relevance of massively distributed explorations of the Internet topology: Qualitative results
Internet maps are generally constructed using the traceroute tool from a few sources to many destinations. It appeared recently that this exploration process gives a partial and bi...
Jean-Loup Guillaume, Matthieu Latapy, Damien Magon...