159 search results - page 22 / 32 » Regularization in matrix relevance learning |
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We describe an alternative to standard nonnegative matrix factorisation (NMF) for nonnegative dictionary learning. NMF with the Kullback-Leibler divergence can be seen as maximisa...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...