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ISNN
2004
Springer
15 years 3 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
TCBB
2010
91views more  TCBB 2010»
14 years 4 months ago
SCS: Signal, Context, and Structure Features for Genome-Wide Human Promoter Recognition
This paper integrates the signal, context and structure features for genome-wide promoter recognition, which is critical in many DNA sequence analysis tasks. First, CpG islands ar...
Jia Zeng, Xiaoyu Zhao, Xiao-Qin Cao, Hong Yan
IROS
2006
IEEE
239views Robotics» more  IROS 2006»
15 years 3 months ago
Development of a Facial Expression Imitation System
— In the last decade, face analysis, e.g. face recognition, face detection, face tracking and facial expression recognition, is a very lively and expanding research field. As com...
Do Hyoung Kim, Sung-Uk Jung, Kwang Ho An, Hui Sung...
CVPR
2001
IEEE
15 years 11 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
TASLP
2008
133views more  TASLP 2008»
14 years 8 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....