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CVPR
2007
IEEE
14 years 9 months ago
Learning Object Material Categories via Pairwise Discriminant Analysis
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...
Zhouyu Fu, Antonio Robles-Kelly
CORR
2010
Springer
142views Education» more  CORR 2010»
13 years 4 months ago
Constructions of Optical Queues With a Limited Number of Recirculations--Part I: Greedy Constructions
One of the main problems in all-optical packet-switched networks is the lack of optical buffers, and one feasible technology for the constructions of optical buffers is to use opt...
Jay Cheng, Cheng-Shang Chang, Sheng-Hua Yang, Tsz-...
ACIVS
2005
Springer
14 years 1 months ago
Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
Luis Mancera, Javier Portilla
ICIP
2002
IEEE
14 years 22 days ago
Speeding up SSD planar tracking by pixel selection
In this paper we present a method to estimate in real-time the position and orientation of a previously viewed planar patch. The algorithm is based on minimising the sum of square...
José Miguel Buenaposada, Luis Baumela
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 8 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...