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» Learning the structure of manifolds using random projections
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JMLR
2008
168views more  JMLR 2008»
13 years 7 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
CIKM
2008
Springer
13 years 9 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
DGO
2003
111views Education» more  DGO 2003»
13 years 8 months ago
Digital Citizenship: Parameters of the Digital Divide
As part of a National Science Foundation-funded study, we analyze data from a 2002 Midwest urban random sample survey (n = 167 adults) of differential access to and uses of comput...
Stuart W. Shulman, Mack C. Shelley, Lisa Thrane
INFORMATICALT
2007
171views more  INFORMATICALT 2007»
13 years 7 months ago
E-Learning Documentation of Historical Living Systems with 3-D Modeling Functionality
The innovations and improvements in digital imaging sensors and scanners, computer modeling, haptic equipments and e-learning technology, as well as the availability of many powerf...
Athanasios D. Styliadis
BMCBI
2010
108views more  BMCBI 2010»
13 years 7 months ago
Predicting changes in protein thermostability brought about by single- or multi-site mutations
Background: An important aspect of protein design is the ability to predict changes in protein thermostability arising from single- or multi-site mutations. Protein thermostabilit...
Jian Tian, Ningfeng Wu, Xiaoyu Chu, Yunliu Fan