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» Boosting Methods for Regression
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ICML
2007
IEEE
16 years 7 months ago
Supervised feature selection via dependence estimation
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
Le Song, Alex J. Smola, Arthur Gretton, Karsten M....
DATE
2008
IEEE
116views Hardware» more  DATE 2008»
16 years 26 days ago
Fast Analog Circuit Synthesis Using Sensitivity Based Near Neighbor Searches
We present an efficient analog synthesis algorithm employing regression models of circuit matrices. Circuit matrix models achieve accurate and speedy synthesis of analog circuits...
Almitra Pradhan, Ranga Vemuri
GLOBECOM
2008
IEEE
16 years 26 days ago
Inferring Internet Worm Temporal Characteristics
— Internet worm attacks pose a significant threat to network security. In this work, we coin the term Internet worm tomography as inferring the characteristics of Internet worms...
Qian Wang, Zesheng Chen, Kia Makki, Niki Pissinou,...
ICPR
2008
IEEE
16 years 26 days ago
Real-time accurate optical flow-based motion sensor
An accurate real-time motion sensor implemented in an FPGA is introduced in this paper. This sensor applies an optical flow algorithm based on ridge regression to solve the collin...
Zhaoyi Wei, Dah-Jye Lee, Brent E. Nelson, James K....
ICPR
2008
IEEE
16 years 25 days ago
Facial feature estimation from the local structural diversity of skulls
In forensics, the craniofacial reconstruction is employed as an initialization of the identification from skulls. It is a challenging work to develop such a system due to the ambi...
Yuru Pei, Hongbin Zha, Zhongbiao Yuan