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SGP
2003
15 years 7 months ago
Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors
One of the challenges in 3D shape matching arises from the fact that in many applications, models should be considered to be the same if they differ by a rotation. Consequently, w...
Michael M. Kazhdan, Thomas A. Funkhouser, Szymon R...
DALT
2004
Springer
15 years 11 months ago
Representational Content and the Reciprocal Interplay of Agent and Environment
Declarative modelling approaches in principle assume a notion of representation or representational content for the modelling concepts. The notion of representational content as di...
Tibor Bosse, Catholijn M. Jonker, Jan Treur
ICCV
2007
IEEE
16 years 8 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ISBI
2006
IEEE
16 years 5 days ago
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation
— We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent...
Adrian Peter, Anand Rangarajan
NECO
2008
170views more  NECO 2008»
15 years 6 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio