784 search results - page 148 / 157 » Diffeomorphic Dimensionality Reduction |
KDD
2007
ACM
14 years 10 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
ECCV
2008
Springer
14 years 8 months ago
2008
Springer
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
EUROSYS
2006
ACM
14 years 6 months ago
2006
ACM
Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are in...
EDBT
2009
ACM
14 years 4 months ago
2009
ACM
In this work we concentrate on categorization of relational attributes based on their data type. Assuming that attribute type/characteristics are unknown or unidentifiable, we an...