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ICML
2003
IEEE
16 years 2 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
EWSN
2007
Springer
16 years 1 months ago
Crankshaft: An Energy-Efficient MAC-Protocol for Dense Wireless Sensor Networks
Abstract. This paper introduces Crankshaft, a MAC protocol specifically targeted at dense wireless sensor networks. Crankshaft employs node synchronisation and offset wake-up sched...
Gertjan P. Halkes, Koen Langendoen
ICCAD
2002
IEEE
103views Hardware» more  ICCAD 2002»
15 years 10 months ago
A technology-independent CAD tool for ESD protection device extraction: ESDExtractor
The challenges for developing an ESD (Electro-static Discharge) layout extractor originate from unconventional layout patterns of ESD protection devices, parasitic ESD device extr...
Rouying Zhan, Haigang Feng, Qiong Wu, Guang Chen, ...
CVPR
2010
IEEE
15 years 10 months ago
Unified Graph Matching in Euclidean Spaces
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
Julian McAuley, Teofilo de Campos, Tiberio Caetano
ENTER
2009
Springer
15 years 8 months ago
Travel Queries on Cities in the United States: Implications for Search Engine Marketing in Tourism
Given the growing importance of online search in travel planning, marketers need to better understand the behavioural aspect of travel planning using search engines. The goal of t...
Zheng Xiang, Bing Pan