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» A Characterization of Constructive Dimension
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CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 6 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright
JIB
2008
87views more  JIB 2008»
15 years 6 months ago
2.5D Visualisation of Overlapping Biological Networks
Biological data is often structured in the form of complex interconnected networks such as protein interaction and metabolic networks. In this paper, we investigate a new problem ...
David Cho Yau Fung, Seok-Hee Hong, Dirk Koschü...
KES
2006
Springer
15 years 6 months ago
M-OntoMat-Annotizer: Image Annotation Linking Ontologies and Multimedia Low-Level Features
Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant colo...
Kosmas Petridis, Dionysios Anastasopoulos, Carsten...
PAMI
2008
391views more  PAMI 2008»
15 years 6 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
PAMI
2006
141views more  PAMI 2006»
15 years 6 months ago
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
Stéphane Lafon, Ann B. Lee