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AUTOMATICA
2011
15 years 2 months ago
A frequentist approach to mapping under uncertainty
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Suman Chakravorty, R. Saha
COLING
2010
15 years 2 months ago
Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
Recent kernel-based PPI extraction systems achieve promising performance because of their capability to capture structural syntactic information, but at the expense of computation...
Bing Liu, Longhua Qian, Hongling Wang, Guodong Zho...
PE
2010
Springer
132views Optimization» more  PE 2010»
15 years 2 months ago
Optimality analysis of energy-performance trade-off for server farm management
A central question in designing server farms today is how to efficiently provision the number of servers to extract the best performance under unpredictable demand patterns while ...
Anshul Gandhi, Varun Gupta, Mor Harchol-Balter, Mi...
TGIS
2010
86views more  TGIS 2010»
15 years 2 months ago
A Road Network Selection Process Based on Data Enrichment and Structure Detection
The presented paper deals with a generic process for road network selection based on data enrichment and structure detection. The first step is to detect significant structures and...
Guillaume Touya
182
Voted
ICASSP
2011
IEEE
14 years 11 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...