143 search results - page 7 / 29 » Unsupervised Topographic Learning for Spatiotemporal Data Mi... |
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
PRL
2011
12 years 10 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....
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...