114 search results - page 16 / 23 » Nonlinear adaptive distance metric learning for clustering |
NIPS
2004
13 years 8 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
ESANN
2007
13 years 9 months ago
2007
Local algorithms for non-linear dimensionality reduction [1], [2], [3], [4], [5] and semi-supervised learning algorithms [6], [7] use spectral decomposition based on a nearest neig...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Clustering video sequences in order to infer and extract activities from a single video stream is an extremely important problem and has significant potential in video indexing, s...
ESWS
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue t...
PRIB
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...