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JCIT
2010
148views more  JCIT 2010»
14 years 10 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
125
Voted
MA
2010
Springer
150views Communications» more  MA 2010»
14 years 10 months ago
Cokriging for spatial functional data
This work proposes to generalize the method of cokriging when data are spatially sampled curves. A spatial functional linear model is constructed including spatial dependencies be...
David Nerini, Pascal Monestiez, Claude Manté...
107
Voted
TSP
2010
14 years 10 months ago
Sampling piecewise sinusoidal signals with finite rate of innovation methods
We consider the problem of sampling piecewise sinusoidal signals. Classical sampling theory does not enable perfect reconstruction of such signals since they are not bandlimited. ...
Jesse Berent, Pier Luigi Dragotti, Thierry Blu
150
Voted
CVPR
2011
IEEE
14 years 7 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
157
Voted
INFOCOM
2011
IEEE
14 years 7 months ago
Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd
—Opportunistic ad-hoc communication enables portable devices such as smartphones to effectively exchange information, taking advantage of their mobility and locality. The nature ...
Gjergji Zyba, Geoffrey M. Voelker, Stratis Ioannid...