955 search results - page 168 / 191 » Component-Based Adaptive Sampling |
JMLR
2010
13 years 6 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
KES
2010
Springer
13 years 6 months ago
2010
Springer
Evolving Takagi Sugeno (eTS) models are optimised for use in applications with high sampling rates. This mode of use produces excellent prediction results very quickly and with lo...
SMI
2010
IEEE
13 years 6 months ago
2010
IEEE
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
TCOM
2010
13 years 6 months ago
2010
—Channel estimation at the receiver side is essential to adaptive modulation schemes, prohibiting low complexity systems from using variable rate and/or variable power transmissi...
TKDE
2010
13 years 6 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...