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...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
While the Internet community recognized early on the need to store and preserve past content of the Web for future use, the tools developed so far for retrieving information from ...
Adam Jatowt, Yukiko Kawai, Satoshi Nakamura, Yutak...
The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
The closed-loop transmit diversity technique is used to improve the performance of the downlink channel in MIMO communication systems. In these closed-loop systems, feedback delay...