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نمایش تعداد 1-10 از 170
Toward Application of Extremal Optimization Algorithm in Image Segmentation
سال: 2012
خلاصه:
. oversegmented images are the initial to EO which works on two levels: segments and pixels. A new energy function is defined for segments and the energy function in
markov random fields (MRF) is used for pixels. Applying EO in segment level accelerates...
The modeling of charged particle interactions in the elliptic beam
ناشر: IEEE
سال: 2014
Cloud Transmission System performance for mobile urban scenarios in the field
ناشر: IEEE
سال: 2014
Algorithms for Group Isomorphism via Group Extensions and Cohomology
ناشر: IEEE
سال: 2014
An interpretable graph-based image classifier
ناشر: IEEE
سال: 2014
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
ناشر: The Institute of Mathematical Statistics
سال: 2013
Superpixel Based RGB-D Image Segmentation Using Markov Random Field
سال: 2015
خلاصه:
on these regions and apply Markov random field inference to assign efficient labels to them. Our evaluation on 30 scenes of challenging NYU v1 dataset shows that our proposed method reached higher values of “Correct Detection” and lower rate of “Missed instances...