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AAAI
2008
15 years 7 months ago
Manifold Integration with Markov Random Walks
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
154
Voted
TMI
2008
138views more  TMI 2008»
15 years 4 months ago
Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events
With continuing improvements in spatial resolution of positron emission tomography (PET) scanners, small patient movements during PET imaging become a significant source of resolut...
Arman Rahmim, Katie Dinelle, Ju-Chieh Cheng, Mikha...
CORR
2008
Springer
77views Education» more  CORR 2008»
15 years 5 months ago
Optimal hash functions for approximate closest pairs on the n-cube
One way to find closest pairs in large datasets is to use hash functions [6], [12]. In recent years locality-sensitive hash functions for various metrics have been given: projecti...
Daniel M. Gordon, Victor Miller, Peter Ostapenko
SSDBM
2008
IEEE
101views Database» more  SSDBM 2008»
15 years 11 months ago
Scalable Ubiquitous Data Access in Clustered Sensor Networks
Wireless sensor networks have drawn much attention due to their ability to monitor ecosystems and wildlife habitats. In such systems, the data should be intelligently collected to ...
Yueh-Hua Lee, Alex Thomo, Kui Wu, Valerie King
NAS
2007
IEEE
15 years 11 months ago
Performance Evaluation of A Load Self-Balancing Method for Heterogeneous Metadata Server Cluster Using Trace-Driven and Syntheti
In cluster-based storage systems, the metadata server cluster must be able to adaptively distribute responsibility for metadata to maintain high system performance and long-term l...
Bin Cai, Changsheng Xie, Guangxi Zhu