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ISNN
2011
Springer
12 years 10 months 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
LCN
2003
IEEE
14 years 1 months ago
ReInForM: Reliable Information Forwarding Using Multiple Paths in Sensor Networks
Sensor networks are meant for sensing and disseminating information about the environment they sense. The criticality of a sensed phenomenon determines it’s importance to the en...
Budhaditya Deb, Sudeept Bhatnagar, Badri Nath
SIGMOD
2006
ACM
102views Database» more  SIGMOD 2006»
14 years 8 months ago
DADA: a data cube for dominant relationship analysis
The concept of dominance has recently attracted much interest in the context of skyline computation. Given an Ndimensional data set S, a point p is said to dominate q if p is bett...
Cuiping Li, Beng Chin Ooi, Anthony K. H. Tung, Sha...
INFOCOM
2009
IEEE
14 years 2 months ago
Duty-Cycle-Aware Broadcast in Wireless Sensor Networks
—Broadcast is one of the most fundamental services in wireless sensor networks (WSNs). It facilitates sensor nodes to propagate messages across the whole network, serving a wide ...
Feng Wang, Jiangchuan Liu
ICNP
2006
IEEE
14 years 1 months ago
Characterizing and Mitigating Inter-domain Policy Violations in Overlay Routes
— The Internet is a complex structure arising from the interconnection of numerous autonomous systems (AS), each exercising its own administrative policies to reflect the commer...
Srinivasan Seetharaman, Mostafa H. Ammar