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» Learning to Align: A Statistical Approach
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DGO
2006
129views Education» more  DGO 2006»
14 years 16 days ago
Automatic alignment of vector data and orthoimagery for the national map
A general problem in combining road vector data with orthoimagery from different sources is that they rarely align. There are a variety of causes to this problem, but the most com...
Craig A. Knoblock, Cyrus Shahabi, Ching-Chien Chen...
EMNLP
2009
13 years 9 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum
CVPR
2011
IEEE
13 years 6 months ago
Joint Face Alignment with A Generic Deformable Face Model
As having multiple images of an object is practically convenient nowadays, to jointly align them is important for subsequent studies and a wide range of applications. In this pape...
Cong Zhao, Wai-Kuen Cham, Xiaogang Wang
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 11 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
EVOW
2010
Springer
14 years 2 months ago
Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments
A challenging problem in bioinformatics is the detection of residues that account for protein function specificity, not only in order to gain deeper insight in the nature of functi...
Elena Marchiori