73 search results - page 6 / 15 » Sparse Bayesian Learning Based on an Efficient Subset Select... |
81
Voted
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
94
Voted
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
110
Voted
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
98
Voted
AAAI
2008
14 years 12 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...