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» Human Detection Using Partial Least Squares Analysis
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ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
11 years 4 months ago
Human Detection Using Partial Least Squares Analysis
Significant research has been devoted to detecting people in images and videos. In this paper we describe a human detection method that augments widely used edge-based features ...
William Robson Schwartz, Aniruddha Kembhavi, David...
FLAIRS
2004
10 years 1 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen
ICRA
2003
IEEE
210views Robotics» more  ICRA 2003»
10 years 4 months ago
A truncated least squares approach to the detection of specular highlights in color images
— One of the most difficult aspects of dealing with illumination effects in computer vision is accounting for specularity in the images of real objects. The specular regions in ...
Jae Byung Park, Avinash C. Kak
INFOCOM
2007
IEEE
10 years 6 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
CORR
2008
Springer
216views Education» more  CORR 2008»
9 years 11 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
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