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AAAI
2008
15 years 9 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
188
Voted
TISSEC
2008
235views more  TISSEC 2008»
15 years 6 months ago
SDAP: A Secure Hop-by-Hop Data Aggregation Protocol for Sensor Networks
Hop-by-hop data aggregation is a very important technique for reducing the communication overhead and energy expenditure of sensor nodes during the process of data collection in a...
Yi Yang, Xinran Wang, Sencun Zhu, Guohong Cao
TMI
2010
96views more  TMI 2010»
15 years 5 months ago
Statistics of Optical Coherence Tomography Data From Human Retina
—Optical coherence tomography (OCT) has recently become one of the primary methods for noninvasive probing of the human retina. The pseudoimage formed by OCT (the so-called B-sca...
Norberto M. Grzywacz, Joaquín de Juan, Clau...
RECOMB
2002
Springer
16 years 7 months ago
Discovering local structure in gene expression data: the order-preserving submatrix problem
This paper concerns the discovery of patterns in gene expression matrices, in which each element gives the expression level of a given gene in a given experiment. Most existing me...
Amir Ben-Dor, Benny Chor, Richard M. Karp, Zohar Y...
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
16 years 6 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...