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ICASSP
2011
IEEE
14 years 3 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...
ISMB
1993
15 years 1 months ago
Protein Classification Using Neural Networks
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
Edgardo A. Ferrán, Pascual Ferrara, Bernard...
SERA
2007
Springer
15 years 5 months ago
Comparative Analysis of Neural Network Techniques Vs Statistical Methods in Capacity Planning
Capacity planning is a technique which can be used to predict the computing resource needs of an organization for the future after studying current usage patterns. This is of spec...
Nalini Vasudevan, Gowri C. Parthasarathy
ICIP
1998
IEEE
16 years 1 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
AI
2002
Springer
14 years 11 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang