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NN
1998
Springer
108views Neural Networks» more  NN 1998»
13 years 9 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
SENSYS
2003
ACM
14 years 3 months ago
GEM: graph eMbedding for routing and data-centric storage in sensor networks without geographic information
The widespread deployment of sensor networks is on the horizon. One of the main challenges in sensor networks is to process and aggregate data in the network rather than wasting e...
James Newsome, Dawn Xiaodong Song
SUTC
2008
IEEE
14 years 4 months ago
On the Security of the Full-Band Image Watermark for Copyright Protection
Digital watermarks have been embedded invisibly in digital media to protect copy rights of legal owners. The embedded watermarks can be extracted to indicate ownership originals. ...
Chu-Hsing Lin, Jung-Chun Liu, Pei-Chen Han
PG
2003
IEEE
14 years 3 months ago
Illustration Watermarks for Vector Graphics
Digital watermarking is a technique for embedding information into data, such as images, 3D models, or audio files, such that some properties (i. e., security, imperceptibility, ...
Henry Sonnet, Tobias Isenberg, Jana Dittmann, Thom...
ICASSP
2010
IEEE
13 years 8 months ago
Towards objectifying information hiding
In this paper, the concept of object-oriented embedding (OOE) is introduced into information hiding in general and particularly to steganography which is the science that involves...
Abbas Cheddad, Joan Condell, Kevin Curran, Paul Mc...