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ARTMED
2002
119views more  ARTMED 2002»
13 years 7 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
PERCOM
2010
ACM
13 years 5 months ago
Sensor.Network: An open data exchange for the web of things
Abstract—Tiny, wireless, sensors embedded in a large number of Internet-capable devices–smart phones, cameras, cars, toys, medical instruments, home appliances and energy meter...
Vipul Gupta, Arshan Poursohi, Poornaprajna Udupi
NIPS
2004
13 years 8 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
14 years 1 months 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, ...
EUC
2005
Springer
14 years 28 days ago
Coverage-Aware Sensor Engagement in Dense Sensor Networks
Wireless sensor networks are capable of carrying out surveillance missions for various applications in remote areas without human interventions. An essential issue of sensor netwo...
Jun Lu, Lichun Bao, Tatsuya Suda