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» Graph model selection using maximum likelihood
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AGENTS
1997
Springer
14 years 28 days ago
Learning View Graphs for Robot Navigation
Abstract. We present a purely vision-based scheme for learning a topological representation of an open environment. The system represents selected places by local views of the surr...
Matthias O. Franz, Bernhard Schölkopf, Philip...
TIP
2010
155views more  TIP 2010»
13 years 7 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
DASFAA
2011
IEEE
311views Database» more  DASFAA 2011»
13 years 15 days ago
3D Indoor Route Planning for Arbitrary-Shape Objects
Route planning, which is used to calculate feasible routes in a given environment, is one of the key issues in navigation systems. According to different constraints in different...
Wenjie Yuan, Markus Schneider
ENTCS
2006
139views more  ENTCS 2006»
13 years 8 months ago
Improving the Usability of a Graph Transformation Language
Model transformation tools implemented using graph transformation techniques are often expected to provide high performance. For this reason, in the Graph Rewriting and Transforma...
Attila Vizhanyo, Sandeep Neema, Feng Shi, Daniel B...
PAMI
2010
324views more  PAMI 2010»
13 years 7 months ago
A Compositional and Dynamic Model for Face Aging
—In this paper we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which An...
Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Ch...