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» Automatic data mapping of signal processing applications
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ICANN
2011
Springer
14 years 9 months ago
Semi-supervised Learning for WLAN Positioning
Currently the most accurate WLAN positioning systems are based on the fingerprinting approach, where a “radio map” is constructed by modeling how the signal strength measureme...
Teemu Pulkkinen, Teemu Roos, Petri Myllymäki
PAMI
2007
196views more  PAMI 2007»
15 years 5 months ago
Bayesian Analysis of Lidar Signals with Multiple Returns
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
155
Voted
ASAP
2006
IEEE
130views Hardware» more  ASAP 2006»
16 years 4 days ago
Cross Layer Design to Multi-thread a Data-Pipelining Application on a Multi-processor on Chip
Data-Pipelining is a widely used model to represent streaming applications. Incremental decomposition and optimization of a data-pipelining application onto a multi-processor plat...
Bo-Cheng Charles Lai, Patrick Schaumont, Wei Qin, ...
ICASSP
2011
IEEE
14 years 9 months ago
A low-power implantable neuroprocessor on nano-FPGA for Brain Machine interface applications
This paper presents the implementation of a low-power and implantable neuroprocessor on low-cost nano-FPGA for data reduction and on-the-fly spike sorting in Brain Machine Interfa...
Fei Zhang, Mehdi Aghagolzadeh, Karim G. Oweiss
JMLR
2010
161views more  JMLR 2010»
15 years 26 days ago
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Micha...