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PR
2010
129views more  PR 2010»
15 years 5 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
TIP
2010
123views more  TIP 2010»
15 years 5 months ago
Optimizing Motion Compensated Prediction for Error Resilient Video Coding
—This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. Fi...
Hua Yang, Kenneth Rose
TMC
2010
152views more  TMC 2010»
15 years 5 months ago
On Multihop Distances in Wireless Sensor Networks with Random Node Locations
—Location and intersensor distance estimations are important functions for the operation of wireless sensor networks, especially when protocols can benefit from the distance info...
Serdar Vural, Eylem Ekici
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
15 years 4 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
MST
2011
205views Hardware» more  MST 2011»
15 years 1 months ago
Sublinear Time Algorithms for Earth Mover's Distance
We study the problem of estimating the Earth Mover’s Distance (EMD) between probability distributions when given access only to samples of the distributions. We give closeness t...
Khanh Do Ba, Huy L. Nguyen, Huy N. Nguyen, Ronitt ...