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NIPS
2003
15 years 6 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
ICONIP
2009
15 years 2 months ago
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
Adaptation is a hallmark of sensory processing. We studied neural adaptation in intracellular voltage responses of the R1-R6 photoreceptors, of the fruit fly Drosophila, subjected ...
Uwe Friederich, Daniel Coca, Stephen A. Billings, ...
ECCV
2002
Springer
16 years 7 months ago
Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data
Free-form deformations (FFD) constitute an important geometric shape modification method that has been extensively investigated for computer animation and geometric modelling. In t...
Slobodan Ilic, Pascal Fua
ICML
1999
IEEE
16 years 5 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
142
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VLDB
1992
ACM
116views Database» more  VLDB 1992»
15 years 9 months ago
Supporting Lists in a Data Model (A Timely Approach)
This paper considers the problem of adding list as a type constructor to an object-oriented data model. In particular, we are concerned with how lists in a database can be constru...
Joel E. Richardson