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ICMCS
2005
IEEE
126views Multimedia» more  ICMCS 2005»
15 years 7 months ago
A HMM-Embedded Unsupervised Learning to Musical Event Detection
In this paper, an HMM-embedded unsupervised learning approach is proposed to detect the music events by grouping the similar segments of the music signal. This approach can cluste...
Sheng Gao, Yongwei Zhu
CEC
2007
IEEE
15 years 8 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
125
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ESWA
2010
118views more  ESWA 2010»
15 years 5 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
JSS
2010
123views more  JSS 2010»
14 years 8 months ago
Composition of architectural models: Empirical analysis and language support
Managing the architectural description (AD) of a complex software system and maintaining consistency among the different models is a demanding task. To understand the underlying p...
Nelis Boucké, Danny Weyns, Tom Holvoet
ICASSP
2011
IEEE
14 years 5 months ago
An investigation of subspace modeling for phonetic and speaker variability in automatic speech recognition
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
Richard C. Rose, Shou-Chun Yin, Yun Tang