191 search results - page 23 / 39 » Generalized Power Method for Sparse Principal Component Anal... |
172
click to vote
ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
176
Voted
DAC
2004
ACM
16 years 7 months ago
2004
ACM
Current technology trends have led to the growing impact of both inter-die and intra-die process variations on circuit performance. While it is imperative to model parameter varia...
185
click to vote
ECCV
2006
Springer
15 years 10 months ago
2006
Springer
In this paper we propose a novel approach for the spatial segmentation of video sequences containing multiple temporal textures. This work is based on the notion that a single tem...
207
click to vote
INTERSPEECH
2010
15 years 1 months ago
2010
It is generally known that a well-designed excitation produces high quality signals in hidden Markov model (HMM)-based speech synthesis systems. This paper proposes a novel techni...
185
click to vote
JCP
2008
15 years 6 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...