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IPSN
2004
Springer
14 years 3 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
INFOCOM
2010
IEEE
13 years 8 months ago
Multicast Scheduling with Cooperation and Network Coding in Cognitive Radio Networks
—Cognitive Radio Networks (CRNs) have recently emerged as a promising technology to improve spectrum utilization by allowing secondary users to dynamically access idle primary ch...
Jin Jin, Hong Xu, Baochun Li
DATE
2004
IEEE
145views Hardware» more  DATE 2004»
14 years 1 months ago
Hierarchical Adaptive Dynamic Power Management
Dynamic power management aims at extending battery life by switching devices to lower-power modes when there is a reduced demand for service. Static power management strategies can...
Zhiyuan Ren, Bruce H. Krogh, Radu Marculescu
ALMOB
2006
155views more  ALMOB 2006»
13 years 10 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
TIP
2008
144views more  TIP 2008»
13 years 9 months ago
Incremental Refinement of Image Salient-Point Detection
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationall...
Yiannis Andreopoulos, Ioannis Patras