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» The structure of intrinsic complexity of learning
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ICIP
2008
IEEE
14 years 9 months ago
Learning structurally discriminant features in 3D faces
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
CVPR
2012
IEEE
11 years 10 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
BMCBI
2008
214views more  BMCBI 2008»
13 years 6 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
MICCAI
2000
Springer
13 years 11 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...
P2P
2007
IEEE
113views Communications» more  P2P 2007»
14 years 1 months ago
Handling Network Partitions and Mergers in Structured Overlay Networks
Structured overlay networks form a major class of peerto-peer systems, which are touted for their abilities to scale, tolerate failures, and self-manage. Any long-lived Internet-s...
Tallat M. Shafaat, Ali Ghodsi, Seif Haridi