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NIPS
2004
15 years 8 months ago
Efficient Kernel Discriminant Analysis via QR Decomposition
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 7 months ago
A Framework for Interactive Work Design based on Digital Work Analysis and Simulation
Due to the flexibility and adaptability of human, manual handling work is still very important in industry, especially for assembly and maintenance work. Well-designed work operat...
Liang Ma, Wei Zhang, Huanzhang Fu, Yang Guo, Damie...
COMCOM
2007
83views more  COMCOM 2007»
15 years 7 months ago
Cost analysis and optimization for IP multicast group management
This paper studies the system parameters that affect the total cost of managing the multicast group on a router. A Petri net model is first proposed to describe the states and t...
Yongjun Li, James Zijun Wang
GIS
2010
ACM
15 years 5 months ago
Constrained free space diagrams: a tool for trajectory analysis
We propose a new and powerful tool for the analysis of trajectories, which in particular allows for more temporally aware analyses. Time plays an important role in the analysis of ...
Kevin Buchin, Maike Buchin, Joachim Gudmundsson
ICDM
2009
IEEE
120views Data Mining» more  ICDM 2009»
16 years 1 months ago
Least Square Incremental Linear Discriminant Analysis
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou