75 search results - page 5 / 15 » Learning Probabilistic Models for Contour Completion in Natu... |
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
Segmentation and tracking methods have been widely explore. However, they are often computationally heavy or require constraining assumptions. We present in this paper a new syste...
NIPS
2008
13 years 8 months ago
2008
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
CCIA
2005
Springer
14 years 8 days ago
2005
Springer
We propose an hybrid and probabilistic classification of image regions belonging to scenes primarily containing natural objects, e.g. sky, trees, etc. as a first step in solving ...
SDM
2012
SIAM
11 years 9 months ago
2012
SIAM
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
ICCV
2003
IEEE
14 years 8 months ago
2003
IEEE
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...