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ESANN
2004
14 years 11 months ago
Flexible and Robust Bayesian Classification by Finite Mixture Models
Abstract. The regularized Mahalanobis distance is proposed in the framework of finite mixture models to avoid commonly faced numerical difficulties encountered with EM. Its princip...
Cédric Archambeau, Frédéric V...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
DATE
2009
IEEE
242views Hardware» more  DATE 2009»
15 years 4 months ago
A high performance reconfigurable Motion Estimation hardware architecture
Motion Estimation (ME) is the most computationally intensive part of video compression and video enhancement systems. For the recently available high definition frame sizes and hi...
Ozgur Tasdizen, Halil Kukner, Abdulkadir Akin, Ilk...
64
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ICASSP
2008
IEEE
15 years 4 months ago
Implementation of message-passing algorithms for the acquisition of spreading codes
A new technique to acquire pseudo-noise (PN) sequences has been recently proposed in [1] and [2]. It is based on the paradigm of iterative Message Passing (iMP) to be run on loopy...
Massimo Rovini, Fabio Principe, Luca Fanucci, Marc...
ICASSP
2011
IEEE
14 years 1 months ago
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification
In this paper, we propose an acceleration technique of the adaptive filtering scheme called adaptive proximal forward-backward splitting method. For accelerating the convergence ...
Masao Yamagishi, Masahiro Yukawa, Isao Yamada