Sciweavers

68 search results - page 10 / 14
» Mixtures of robust probabilistic principal component analyze...
Sort
View
95
Voted
PAMI
2007
155views more  PAMI 2007»
14 years 9 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
14 years 10 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring
87
Voted
DEBU
2008
186views more  DEBU 2008»
14 years 10 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
80
Voted
MICCAI
2008
Springer
15 years 11 months ago
Label Space: A Coupled Multi-shape Representation
Richly labeled images representing several sub-structures of an organ occur quite frequently in medical images. For example, a typical brain image can be labeled into grey matter, ...
James G. Malcolm, Yogesh Rathi, Martha Elizabeth...
76
Voted
NN
2002
Springer
114views Neural Networks» more  NN 2002»
14 years 10 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata