351 search results - page 16 / 71 » The Skip-Innovation Model for Sparse Images |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical m...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
NECO
2010
13 years 5 months ago
2010
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
MICCAI
2010
Springer
13 years 5 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
ICCV
2009
IEEE
15 years 10 days ago
2009
IEEE
We propose in this paper to unify two different ap-
proaches to image restoration: On the one hand, learning a
basis set (dictionary) adapted to sparse signal descriptions
has p...