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ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
16 years 28 days ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
16 years 24 days ago
Towards Mapping of Cities
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...
RTSS
2007
IEEE
16 years 23 days ago
Energy-Aware Scheduling of Real-Time Tasks in Wireless Networked Embedded Systems
Recent technological advances have opened up several distributed real-time applications involving battery-driven embedded devices with local processing and wireless communication ...
G. Sudha Anil Kumar, G. Manimaran
HRI
2006
ACM
16 years 14 days ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
CVBIA
2005
Springer
16 years 20 hour ago
A New Coarse-to-Fine Framework for 3D Brain MR Image Registration
Registration, that is, the alignment of multiple images, has been one of the most challenging problems in the field of computer vision. It also serves as an important role in biome...
Terrence Chen, Thomas S. Huang, Wotao Yin, Xiang S...