874 search results - page 3 / 175 » Using Feature Weights to Improve Performance of Neural Netwo... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
INTERSPEECH
2010
13 years 2 days ago
2010
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
ICMCS
2000
IEEE
13 years 9 months ago
2000
IEEE
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
IJON
2000
13 years 5 months ago
2000
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
ESANN
2004
13 years 6 months ago
2004
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...