1641 search results - page 179 / 329 » Termination Analysis with Algorithmic Learning |
83
Voted
NIPS
2003
15 years 1 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
106
click to vote
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
118
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
120
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
92
Voted
ICDAR
2009
IEEE
15 years 7 months ago
2009
IEEE
Writer adaptive handwriting recognition, which has potential of increasing accuracies for a particular user, is the process of converting a writer-independent recognition system t...