72 search results - page 14 / 15 » A Multiphase Level Set Framework for Image Segmentation Usin... |
NIPS
2008
13 years 8 months ago
2008
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
NIPS
2008
13 years 8 months ago
2008
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
KDD
2012
ACM
11 years 9 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....