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» Kernel Principal Component Analysis
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FLAIRS
2010
15 years 4 months ago
Correlating Shape and Functional Properties Using Decomposition Approaches
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
Daniel Dornbusch, Robert Haschke, Stefan Menzel, H...
ACII
2005
Springer
15 years 4 months ago
Face and Facial Expression Recognition with an Embedded System for Human-Robot Interaction
In this paper, we present an embedded system in which face recognition and facial expression recognition for Human-Robot Interaction are implemented. To detect face with a fast and...
Yang-Bok Lee, Seungbin Moon, Yong-Guk Kim
163
Voted
DMIN
2008
241views Data Mining» more  DMIN 2008»
15 years 4 months ago
Leakage Detection by Adaptive Process Modeling
Abstract-- In this paper, we propose an adaptive linear approach for time series modeling and steam line leakage detection. Weighted recursive least squares (WRLS) method is used f...
Jaakko Talonen, Miki Sirola, Jukka Parviainen
NIPS
2008
15 years 4 months ago
Bayesian Exponential Family PCA
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
Shakir Mohamed, Katherine A. Heller, Zoubin Ghahra...
111
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MVA
2007
160views Computer Vision» more  MVA 2007»
15 years 4 months ago
Investigation of Color Spaces for Face Recognition
This paper presents color processing for face recognition systems and proposes new directions for them. We show that color information helps performance of face recognition and fo...
Seunghwan Yoo, Rae-Hong Park, Dong-Gyu Sim