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» Dimensionality Reduction with Image Data
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ICML
2007
IEEE
15 years 10 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
ICPR
2002
IEEE
15 years 11 months ago
Manifold Pursuit: A New Approach to Appearance Based Recognition
Manifold Pursuit (MP) extends Principal Component Analysis to be invariant to a desired group of image-plane transformations of an ensemble of un-aligned images. We derive a simpl...
Amnon Shashua, Anat Levin, Shai Avidan
EUROSYS
2006
ACM
15 years 7 months ago
Ferret: a toolkit for content-based similarity search of feature-rich data
Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are in...
Qin Lv, William Josephson, Zhe Wang, Moses Charika...
VVS
1995
IEEE
132views Visualization» more  VVS 1995»
15 years 1 months ago
Multi-Dimensional Trees for Controlled Volume Rendering and Compression
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...
Jane Wilhelms, Allen Van Gelder
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
15 years 3 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou