65 search results - page 10 / 13 » Learning a Bi-Stochastic Data Similarity Matrix |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...
ICASSP
2011
IEEE
12 years 8 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...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
BICOB
2010
Springer
13 years 3 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...