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ICPR
2002
IEEE
15 years 10 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
WACV
2008
IEEE
15 years 3 months ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince
BMCBI
2004
162views more  BMCBI 2004»
14 years 9 months ago
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant m
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...
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ECCV
2004
Springer
15 years 11 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
CVPR
2003
IEEE
15 years 11 months ago
Low-Dimensional Representations of Shaded Surfaces under Varying Illumination
The aim of this paper is to find the best representation for the appearance of surfaces with Lambertian reflectance under varying illumination. Previous work using principal compo...
Peter Nillius, Jan-Olof Eklundh