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» Embedding Heterogeneous Data Using Statistical Models
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145
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ICPR
2008
IEEE
16 years 4 months ago
Kernel bandwidth estimation in methods based on probability density function modelling
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
Adrian G. Bors, Nikolaos Nasios
ICANN
2001
Springer
15 years 8 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola
129
Voted
TOG
2002
106views more  TOG 2002»
15 years 3 months ago
Eyes alive
For an animated human face model to appear natural it should produce eye movements consistent with human ocular behavior. During face-to-face conversational interactions, eyes exh...
Sooha Park Lee, Jeremy B. Badler, Norman I. Badler
ICIP
2007
IEEE
16 years 5 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
117
Voted
NIPS
2007
15 years 4 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens