874 search results - page 89 / 175 » Iterative Learning Control - Monotonicity and Optimization |
CVPR
2006
IEEE
15 years 12 months ago
2006
IEEE
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
ICDM
2006
IEEE
15 years 4 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
Ranking large scale image and video collections usually expects higher accuracy on top ranked data, while tolerates lower accuracy on bottom ranked ones. In view of this, we propo...
UM
2005
Springer
15 years 3 months ago
2005
Springer
The A theory of user expectation of system interaction is introduced in the context of User Adapted Interfaces. The usability of an intelligent email client that learns to filter s...
SAGA
2001
Springer
15 years 2 months ago
2001
Springer
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...