238 search results - page 35 / 48 » A Constraint Learning Algorithm for Blind Source Separation |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
EMNLP
2011
12 years 7 months ago
2011
We present a simple method for transferring dependency parsers from source languages with labeled training data to target languages without labeled training data. We first demons...
MSE
2002
IEEE
14 years 19 days ago
2002
IEEE
Digital watermarking is the enabling technology to prove ownership on copyrighted material, detect originators of illegally made copies, monitor the usage of the copyrighted multi...
ML
2010
ACM
13 years 2 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Recently, a mathematical proof is obtained in (Liu, Chiu, Xu, 2004) on the so called one-bit-matching conjecture that all the sources can be separated as long as there is an one-to...