Sciweavers

147 search results - page 8 / 30
» Independent component analysis for noisy speech recognition
Sort
View
AIPR
2003
IEEE
15 years 7 months ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
126
Voted
ESWA
2010
118views more  ESWA 2010»
15 years 11 days ago
Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
Chi-Jie Lu
ICPR
2004
IEEE
16 years 2 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
IBPRIA
2003
Springer
15 years 7 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
105
Voted
ACL
1998
15 years 3 months ago
A Model for Robust Processing of Spontaneous Speech by Integrating Viable Fragments
We describe the design and function of a robust processing component which is being developed for the Verbmobil speech translation system. Its task consists of collecting partial ...
Karsten L. Worm