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IJCAI
2007
15 years 5 months ago
Improving Embeddings by Flexible Exploitation of Side Information
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey
IJCV
2006
105views more  IJCV 2006»
15 years 3 months ago
A Metric Approach to Vector-Valued Image Segmentation
We address the issue of low-level segmentation of vector-valued images, focusing on the case of color natural images. The proposed approach relies on the formulation of the problem...
Pablo Andrés Arbeláez, Laurent D. Co...
JCO
2006
128views more  JCO 2006»
15 years 3 months ago
A combinatorial theorem on labeling squares with points and its application
In this paper, we present a combinatorial theorem on labeling disjoint axis-parallel squares of edge length two using points. Given an arbitrary set of disjoint axis-parallel squar...
Binhai Zhu, Minghui Jiang
CIKM
2000
Springer
15 years 8 months ago
Dimensionality Reduction and Similarity Computation by Inner Product Approximations
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
Ömer Egecioglu, Hakan Ferhatosmanoglu
132
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MMM
1998
Springer
95views Multimedia» more  MMM 1998»
15 years 7 months ago
Multimedia Semantic Features and Image Content Description
Content-based indexing and retrieval of images and video requires a proper semantic description for image content. This paper discusses the mapping of high-level, application-spec...
Marc Cavazza, Roger J. Green, Ian J. Palmer