894 search results - page 1 / 179 » Learning to cluster using local neighborhood structure |
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
MVA
2010
13 years 3 months ago
2010
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
PAKDD
2011
ACM
12 years 7 months ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
IJAR
2010
13 years 3 months ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...