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» Embedding Heterogeneous Data Using Statistical Models
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IBMRD
2011
112views more  IBMRD 2011»
14 years 7 months ago
Sensor Andrew: Large-scale campus-wide sensing and actuation
—We present Sensor Andrew, a multi-disciplinary campus-wide scalable sensor network that is designed to host a wide range of sensor, actuator and low-power applications. The goal...
Anthony Rowe, Mario Berges, Gaurav Bhatia, Ethan G...
105
Voted
FBIT
2007
IEEE
15 years 6 months ago
Unsupervised Learning in Spectral Genome Analysis
The tree representation as a model for organismal evolution has been in use since before Darwin. However, with the recent unprecedented access to biomolecular data it has been dis...
Lutz Hamel, Neha Nahar, Maria S. Poptsova, Olga Zh...
109
Voted
CSMR
1999
IEEE
15 years 4 months ago
Employing Use-cases and Domain Knowledge for Comprehending Resource Usage
Philips Electronics is a world wide electronics company that develops many products containing embedded software. These products range from shavers with only few hundred bytes of ...
René L. Krikhaar, Maarten Pennings, J. Zonn...
106
Voted
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 28 days ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
99
Voted
GEOINFO
2007
15 years 2 months ago
Comparison of Machine Learning Algorithms for Mapping the Phytophysiognomies of the Brazilian Cerrado
This present work describes the classification of the Phytophysiognomies present in the Brazilian Cerrado biome through the means Artificial Intelligence; data from remote sensing ...
Luciano T. de Oliveira, Thomaz C. de A. Oliveira, ...