58 search results - page 4 / 12 » Using Gradient Descent Optimization for Acoustics Training f... |
NECO
2007
13 years 6 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
ICANN
2005
Springer
14 years 28 days ago
2005
Springer
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...
IJACTAICIT
2010
13 years 2 months ago
2010
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
ICMLA
2007
13 years 8 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
ICCV
2009
IEEE
15 years 11 days ago
2009
IEEE
With the recent efforts made by computer vision researchers,
more and more types of features have been designed
to describe various aspects of visual characteristics.
Modeling s...