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ALT
2003
Springer
16 years 3 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
ALT
2000
Springer
16 years 3 months ago
Learning Recursive Concepts with Anomalies
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios in which the learner is successful if its final hypothesis describ...
Gunter Grieser, Steffen Lange, Thomas Zeugmann
ICCAD
2008
IEEE
127views Hardware» more  ICCAD 2008»
16 years 3 months ago
Design and optimization of a digital microfluidic biochip for protein crystallization
Proteins crystallization is a commonly used technique for protein analysis and subsequent drug design. It predicts the three-dimensional arrangement of the constituent amino acids...
Tao Xu, Krishnendu Chakrabarty, Vamsee K. Pamula
ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
16 years 3 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
ICCAD
2001
IEEE
107views Hardware» more  ICCAD 2001»
16 years 3 months ago
A Convex Programming Approach to Positive Real Rational Approximation
As system integration evolves and tighter design constraints must be met, it becomes necessary to account for the non-ideal behavior of all the elements in a system. Certain devic...
Carlos P. Coelho, Joel R. Phillips, Luis Miguel Si...