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MICCAI
2000
Springer
15 years 1 months 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...
ECOOP
2006
Springer
15 years 1 months ago
Demeter Interfaces: Adaptive Programming Without Surprises
Adaptive Programming (AP) allows for the separate definition of data structures and traversals with attached computations, performed during the traversal, that operate on these dat...
Therapon Skotiniotis, Jeffrey Palm, Karl J. Lieber...
CAV
2007
Springer
104views Hardware» more  CAV 2007»
15 years 3 months ago
Revamping TVLA: Making Parametric Shape Analysis Competitive
Abstract. TVLA is a parametric framework for shape analysis that can be easily instantiated to create different kinds of analyzers for checking properties of programs that use link...
Igor Bogudlov, Tal Lev-Ami, Thomas W. Reps, Mooly ...
ICWSM
2008
14 years 11 months ago
Wikipedian Self-Governance in Action: Motivating the Policy Lens
While previous studies have used the Wikipedia dataset to provide an understanding of its growth, there have been few attempts to quantitatively analyze the establishment and evol...
Ivan Beschastnikh, Travis Kriplean, David W. McDon...
CSE
2009
IEEE
15 years 26 days ago
Clustering Signature in Complex Social Networks
An important aspect in social computing is the structure of social networks, which build the underlying substrate for the exchange of information. With the growing importance of mi...
Ueli Peter, Tomas Hruz