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» Clustering the Feature Space
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148
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WG
2010
Springer
15 years 2 months ago
Generalized Graph Clustering: Recognizing (p, q)-Cluster Graphs
Cluster Editing is a classical graph theoretic approach to tackle the problem of data set clustering: it consists of modifying a similarity graph into a disjoint union of cliques,...
Pinar Heggernes, Daniel Lokshtanov, Jesper Nederlo...
150
Voted
VLUDS
2010
232views Visualization» more  VLUDS 2010»
14 years 11 months ago
Methods for Feature Detection in Point Clouds
This paper gives an overview over several techniques for detection of features, and in particular sharp features, on point-sampled geometry. In addition, a new technique using the...
Christopher Weber, Stefanie Hahmann, Hans Hagen
112
Voted
ALT
2008
Springer
16 years 1 months ago
Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces
We give a bound on the expected reconstruction error for a general coding method where data in a Hilbert space are represented by finite dimensional coding vectors. The result can...
Andreas Maurer, Massimiliano Pontil
161
Voted
ICIP
2003
IEEE
16 years 6 months ago
Image segmentation by spatially adaptive color and texture features
We present an image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm is based on a previously proposed algorithm but i...
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra M...
131
Voted
PR
2002
140views more  PR 2002»
15 years 4 months ago
Negotiating the semantic gap: from feature maps to semantic landscapes
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic inde...
Rong Zhao, William I. Grosky