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» Dimensionality Reduction for Image Retrieval
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BMVC
2010
13 years 5 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
SOCO
2008
Springer
13 years 7 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
HICSS
2007
IEEE
137views Biometrics» more  HICSS 2007»
14 years 2 months ago
Essential Dimensions of Latent Semantic Indexing (LSI)
Latent Semantic Indexing (LSI) is commonly used to match queries to documents in information retrieval applications. LSI has been shown to improve retrieval performance for some, ...
April Kontostathis
ICIP
2008
IEEE
14 years 9 months ago
On the estimation of geodesic paths on sampled manifolds under random projections
In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in highdimensional Euclidean spaces. We show that geodesic paths ...
Mona Mahmoudi, Pierre Vandergheynst, Matteo Sorci
BMVC
2001
13 years 10 months ago
Recognition and retrieval via histogram trees
This paper explores a new method for analysing and comparing image histograms. The technique amounts to a novel way of backprojecting an image into one with fewer, statistically s...
Stuart Gibson, Richard Harvey