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PERCOM
2007
ACM
16 years 3 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
MOBISYS
2007
ACM
16 years 3 months ago
Algorithm to automatically detect abnormally long periods of inactivity in a home
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
Paul Cuddihy, Jenny Weisenberg, Catherine Graichen...
DCC
2007
IEEE
16 years 3 months ago
Spectral Predictors
Many scientific, imaging, and geospatial applications produce large high-precision scalar fields sampled on a regular grid. Lossless compression of such data is commonly done usin...
Lorenzo Ibarria, Peter Lindstrom, Jarek Rossignac
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
16 years 1 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
EUROSYS
2007
ACM
16 years 1 months ago
STMBench7: a benchmark for software transactional memory
Software transactional memory (STM) is a promising technique for controlling concurrency in modern multi-processor architectures. STM aims to be more scalable than explicit coarse...
Rachid Guerraoui, Michal Kapalka, Jan Vitek
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