63 search results - page 10 / 13 » Complexity Bounds for Batch Active Learning in Classificatio... |
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
As having multiple images of an object is practically convenient nowadays, to jointly align them is important for subsequent studies and a wide range of applications. In this pape...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
DCC
2006
IEEE
14 years 7 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...