57 search results - page 8 / 12 » Low-Rank Similarity Metric Learning in High Dimensions |
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Scarcity and infeasibility of human supervision for large
scale multi-class classification problems necessitates active
learning. Unfortunately, existing active learning methods
...
IJAR
2008
13 years 8 months ago
2008
Proteomic profiling based on mass spectrometry is an important tool for studies at the protein and peptide level in medicine and health care. Thereby, the identification of releva...
EDBT
2006
ACM
14 years 8 months ago
2006
ACM
Abstract. Comparison of images requires a distance metric that is sensitive to the spatial location of objects and features. Such sensitive distance measures can, however, be compu...