883 search results - page 31 / 177 » Unsupervised learning in neural computation |
125
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
122
Voted
ECML
2001
Springer
15 years 8 months ago
2001
Springer
We present a powerful meta-clustering technique called Iterative Double Clustering (IDC). The IDC method is a natural extension of the recent Double Clustering (DC) method of Slon...
223
Voted
NCA
2011
IEEE
14 years 10 months ago
2011
IEEE
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
220
Voted
PRL
2011
14 years 6 months ago
2011
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
149
Voted
CVPR
2007
IEEE
15 years 7 months ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...