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» Learning Visual Invariance
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127
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IJPRAI
2008
144views more  IJPRAI 2008»
15 years 2 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
ECTEL
2010
Springer
14 years 11 months ago
GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...
Luca Mazzola, Riccardo Mazza
218
Voted
IV
2007
IEEE
366views Visualization» more  IV 2007»
15 years 8 months ago
Algorithm Visualization in Teaching Spatial Data Algorithms
Algorithm visualization is a widely–used tool for teaching data structures and algorithms. Spatial data algorithms are algorithms that are designed to process multidimensional d...
Jussi Nikander, Juha Helminen
81
Voted
IVS
2008
99views more  IVS 2008»
15 years 2 months ago
Visual analytics science and technology
The second Visual Analytics Science and Technology (VAST) contest's data consisted of a heterogeneous synthetic collection of news articles with additional supporting files a...
William Ribarsky, John Dill
120
Voted
ICPR
2004
IEEE
16 years 3 months ago
Image Retrieval by Local Evaluation of Nonlinear Kernel Functions around Salient Points
Feature histograms based on the evaluation of Haar integrals with nonlinear kernel functions were used successfully for the purpose of invariant content based image retrieval. In ...
Alaa Halawani, Hans Burkhardt