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» Combining classifiers to identify online databases
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CVPR
2007
IEEE
14 years 7 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
CVPR
2008
IEEE
14 years 7 months ago
Estimating age, gender, and identity using first name priors
Recognizing people in images is one of the foremost challenges in computer vision. It is important to remember that consumer photography has a highly social aspect. The photograph...
Andrew C. Gallagher, Tsuhan Chen
ICDE
2010
IEEE
266views Database» more  ICDE 2010»
13 years 5 months ago
Ranking for data repairs
Abstract— Improving data quality is a time-consuming, laborintensive and often domain specific operation. A recent principled approach for repairing dirty database is to use dat...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
BMCBI
2008
133views more  BMCBI 2008»
13 years 5 months ago
LocateP: Genome-scale subcellular-location predictor for bacterial proteins
Background: In the past decades, various protein subcellular-location (SCL) predictors have been developed. Most of these predictors, like TMHMM 2.0, SignalP 3.0, PrediSi and Phob...
Miaomiao Zhou, Jos Boekhorst, Christof Francke, Ro...
BMCBI
2006
184views more  BMCBI 2006»
13 years 5 months ago
PubFocus: semantic MEDLINE/PubMed citations analytics through integration of controlled biomedical dictionaries and ranking algo
Background: Understanding research activity within any given biomedical field is important. Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy ...
Maksim V. Plikus, Zina Zhang, Cheng-Ming Chuong