311 search results - page 58 / 63 » Gradient Convergence in Gradient methods with Errors |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
IJCV
2006
13 years 7 months ago
2006
In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy ass...
INTERSPEECH
2010
13 years 2 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
IWLCS
2005
Springer
14 years 1 months ago
2005
Springer
Aiming to clarify the convergence or divergence conditions for Learning Classifier System (LCS), this paper explores: (1) an extreme condition where the reinforcement process of ...
ICCAD
1993
IEEE
13 years 11 months ago
1993
IEEE
We have proposed an e cient measure to reduce the clock skew by assigning the clock network with variable branch widths. This measure has long been used for \H" clock tree. T...