411 search results - page 57 / 83 » Representing Uncertainty in RuleML |
PAMI
2012
11 years 10 months ago
2012
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
AAAI
2012
11 years 10 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— Recent applications of robotics often demand two types of spatial awareness: 1) A fine-grained description of the robot’s immediate surroundings for obstacle avoidance and p...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
This paper addresses decentralized multi-project scheduling under uncertainty. The problem instance we study is the scheduling of airport ground handling services, where aircraft ...
3DPVT
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...