156 search results - page 16 / 32 » Generalized Principal Component Analysis (GPCA) |
CIKM
2009
Springer
14 years 16 days ago
2009
Springer
In this work, we show the importance of multidimensional opinion representation in the political context combining domain knowledge and results from principal component analysis. ...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
MM
2005
ACM
14 years 2 months ago
2005
ACM
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
ISCC
2009
IEEE
14 years 3 months ago
2009
IEEE
In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. T...