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» Rethinking Database Algorithms for Phase Change Memory
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CF
2009
ACM
14 years 3 months ago
Quantitative analysis of sequence alignment applications on multiprocessor architectures
The exponential growth of databases that contains biological information (such as protein and DNA data) demands great efforts to improve the performance of computational platforms...
Friman Sánchez, Alex Ramírez, Mateo ...
ADC
2008
Springer
114views Database» more  ADC 2008»
14 years 2 months ago
Enabling Resource-Awareness for In-Network Data Processing in Wireless Sensor Networks
The next-generation of wireless sensor platforms allows for more advanced in-network data processing. The central challenge remains energy and communication efficiency. This paper...
Uwe Röhm, Mohamed Medhat Gaber, Quincy Tse
IROS
2007
IEEE
179views Robotics» more  IROS 2007»
14 years 2 months ago
Incremental learning for place recognition in dynamic environments
Abstract— Vision-based place recognition is a desirable feature for an autonomous mobile system. In order to work in realistic scenarios, visual recognition algorithms should be ...
Jie Luo, Andrzej Pronobis, Barbara Caputo, Patric ...
DKE
2008
109views more  DKE 2008»
13 years 8 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
ML
2008
ACM
13 years 8 months ago
Incremental exemplar learning schemes for classification on embedded devices
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
Ankur Jain, Daniel Nikovski