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» A Proposal for Visualising Learning Materials in A 3D Space
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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 10 days ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ICIP
2010
IEEE
13 years 3 months ago
Exemplar-Based EM-like image denoising via manifold reconstruction
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Xin Li
PAMI
2012
11 years 8 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
MICCAI
2009
Springer
14 years 7 months ago
Biomechanically-Constrained 4D Estimation of Myocardial Motion
We propose a method for the analysis of Magnetic Resonance (MR) cardiac images with the goal of reconstructing the motion of the ventricular walls. The main feature of our method i...
Hari Sundar, Christos Davatzikos, George Biros
GVD
2000
131views Database» more  GVD 2000»
13 years 7 months ago
Adaptive Knowledge Management: A Meta-Modeling Approach and its Binding to XML
In this paper we propose a meta-modeling approach to adaptive knowledge management. It extends previous work by introducing an application-specific layer which allows to specify m...
Christian Süß