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» Learning from sensor network data
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ISNN
2011
Springer
14 years 25 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
SAC
2005
ACM
15 years 3 months ago
Indexing continuously changing data with mean-variance tree
: Traditional spatial indexes like R-tree usually assume the database is not updated frequently. In applications like location-based services and sensor networks, this assumption i...
Yuni Xia, Sunil Prabhakar, Shan Lei, Reynold Cheng...
PVLDB
2010
252views more  PVLDB 2010»
14 years 4 months ago
Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance
Probabilistic data is coming as a new deluge along with the technical advances on geographical tracking, multimedia processing, sensor network and RFID. While similarity search is...
Jia Xu, Zhenjie Zhang, Anthony K. H. Tung, Ge Yu
ATAL
2010
Springer
14 years 10 months ago
Inter-robot transfer learning for perceptual classification
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
Zsolt Kira
EWSN
2008
Springer
15 years 9 months ago
Characterizing Mote Performance: A Vector-Based Methodology
Sensors networks instrument the physical space using motes that run network embedded programs thus acquiring, processing, storing and transmitting sensor data. The motes commercial...
Martin Leopold, Marcus Chang, Philippe Bonnet