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VLSISP
2002
139views more  VLSISP 2002»
13 years 10 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal
CVPR
2009
IEEE
14 years 2 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
ICIP
2005
IEEE
14 years 4 months ago
Hyperspectral imaging: potential in non-destructive analysis of palimpsests
Palimpsests -twice written manuscripts- are of great interest since they may contain important hidden text underneath the visible one. Hyperspectral imaging may aid the expert to ...
Konstantinos Rapantzikos, Costas Balas
JBI
2007
110views Bioinformatics» more  JBI 2007»
13 years 10 months ago
FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data
Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. The paper presents Free...
Janez Demsar, Gregor Leban, Blaz Zupan
VLSID
2006
IEEE
134views VLSI» more  VLSID 2006»
14 years 11 months ago
ADC Precision Requirement for Digital Ultra-Wideband Receivers with Sublinear Front-Ends: A Power and Performance Perspective
This paper presents the power and performance analysis of a digital, direct sequence ultra-wideband (DS-UWB) receiver operating in the 3 to 4 GHz band. The signal to noise and dis...
Ivan Siu-Chuang Lu, Neil Weste, Sri Parameswaran