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» Complexity Dimensions and Learnability
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MICCAI
2000
Springer
14 years 5 hour ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
ASPLOS
2008
ACM
13 years 10 months ago
Overshadow: a virtualization-based approach to retrofitting protection in commodity operating systems
Commodity operating systems entrusted with securing sensitive data are remarkably large and complex, and consequently, frequently prone to compromise. To address this limitation, ...
Xiaoxin Chen, Tal Garfinkel, E. Christopher Lewis,...
DEXA
2008
Springer
132views Database» more  DEXA 2008»
13 years 10 months ago
Efficient Updates for Continuous Skyline Computations
We address the problem of maintaining continuous skyline queries efficiently over dynamic objects with d dimensions. Skyline queries are an important new search capability for mult...
Yu-Ling Hsueh, Roger Zimmermann, Wei-Shinn Ku
NDQA
2003
156views Education» more  NDQA 2003»
13 years 9 months ago
Toward a Question Answering Roadmap
Growth in government investment, academic research, and commercial question answering (QA) systems is motivating a need for increased planning and coordination. The internationali...
Mark T. Maybury
GRC
2010
IEEE
13 years 9 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi