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» An LFT approach to parameter estimation
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IVC
2010
128views more  IVC 2010»
13 years 6 months ago
Online kernel density estimation for interactive learning
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Matej Kristan, Danijel Skocaj, Ales Leonardis
ICML
2006
IEEE
14 years 8 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
MICCAI
2007
Springer
14 years 8 months ago
Modeling of Needle-Tissue Interaction Using Ultrasound-Based Motion Estimation
Abstract. A needle-tissue interaction model is an essential part of every needle insertion simulator. In this paper, a new experimental method for the modeling of needle-tissue int...
Ehsan Dehghan, Xu Wen, Reza Zahiri-Azar, Maud Marc...
ASPDAC
2008
ACM
108views Hardware» more  ASPDAC 2008»
13 years 9 months ago
Synthesis and design of parameter extractors for low-power pre-computation-based content-addressable memory using gate-block sel
Content addressable memory (CAM) is frequently used in applications, such as lookup tables, databases, associative computing, and networking, that require high-speed searches due t...
Jui-Yuan Hsieh, Shanq-Jang Ruan
ICPR
2000
IEEE
14 years 8 months ago
Reduction of Bias in Maximum Likelihood Ellipse Fitting
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
Bogdan Matei, Peter Meer