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ISNN
2007
Springer
16 years 14 days ago
Extensions of Manifold Learning Algorithms in Kernel Feature Space
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Yaoliang Yu, Peng Guan, Liming Zhang
EMMCVPR
2005
Springer
15 years 12 months ago
Probabilistic Subgraph Matching Based on Convex Relaxation
We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with ...
Christian Schellewald, Christoph Schnörr
ICALP
2010
Springer
15 years 11 months ago
A Topological Approach to Recognition
We propose a new approach to the notion of recognition, which departs from the classical definitions by three specific features. First, it does not rely on automata. Secondly, it...
Mai Gehrke, Serge Grigorieff, Jean-Eric Pin
NIPS
2001
15 years 7 months ago
Hyperbolic Self-Organizing Maps for Semantic Navigation
We introduce a new type of Self-Organizing Map (SOM) to navigate in the Semantic Space of large text collections. We propose a "hyperbolic SOM" (HSOM) based on a regular...
Jörg Ontrup, Helge Ritter
CORR
2000
Springer
81views Education» more  CORR 2000»
15 years 6 months ago
Safe cooperative robot dynamics on graphs
This paper initiates the use of vector fields to design, optimize, and implement reactive schedules for safe cooperative robot patterns on planar graphs. We consider Automated Gui...
Robert Ghrist, Daniel E. Koditschek