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SUTC
2008
IEEE
14 years 2 months ago
Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks
With the availability of low-cost sensor nodes there have been many standards developed to integrate and network these nodes to form a reliable network allowing many different typ...
Vasanth Iyer, Rammurthy Garimella, M. B. Srinivas
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 8 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
ACMACE
2006
ACM
14 years 1 months ago
3D object modelling for entertainment applications
Recent advances in three-dimensional (3D) data acquisition techniques have offered an alternative to the traditional 2D metamorphosis (or morphing) approaches, which gradually cha...
Yi Song, Li Bai, Yangsheng Wang
PR
2010
129views more  PR 2010»
13 years 6 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
ICPR
2010
IEEE
14 years 1 months ago
Online Discriminative Kernel Density Estimation
—We propose a new method for online estimation of probabilistic discriminative models. The method is based on the recently proposed online Kernel Density Estimation (oKDE) framew...
Matej Kristan, Ales Leonardis