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» Object recognition using graph spectral invariants
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ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
14 years 3 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
14 years 3 months ago
Informed visual search: Combining attention and object recognition
Abstract— This paper studies the sequential object recognition problem faced by a mobile robot searching for specific objects within a cluttered environment. In contrast to curr...
Per-Erik Forssén, David Meger, Kevin Lai, S...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
14 years 12 days ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ECAI
2008
Springer
13 years 10 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
CIARP
2007
Springer
14 years 3 months ago
Multi-class Binary Object Categorization Using Blurred Shape Models
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
Sergio Escalera, Alicia Fornés, Oriol Pujol...