539 search results - page 59 / 108 » Learning Monotonic Linear Functions |
PAMI
2007
13 years 9 months ago
2007
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
GECCO
2004
Springer
14 years 3 months ago
2004
Springer
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...