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RAS
2000
161views more  RAS 2000»
15 years 6 months ago
Active object recognition by view integration and reinforcement learning
A mobile agent with the task to classify its sensor pattern has to cope with ambiguous information. Active recognition of three-dimensional objects involves the observer in a sear...
Lucas Paletta, Axel Pinz
TIP
2011
156views more  TIP 2011»
15 years 1 months ago
Geodesic Active Fields - A Geometric Framework for Image Registration
In this paper we present a novel geometric framework called geodesic active fields for general image registration. In image registration, one looks for the underlying deformation ...
Dominique Zosso, Xavier Bresson, Jean-Philippe Thi...
DCC
2006
IEEE
16 years 5 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
CONTEXT
2007
Springer
16 years 10 days ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
IJRR
2010
88views more  IJRR 2010»
15 years 1 months ago
Extracting Object Contours with the Sweep of a Robotic Whisker Using Torque Information
Several recent studies have investigated the problem of object feature extraction with artificial whiskers. Many of these studies have used an approach in which the whisker is rot...
Joseph H. Solomon, Mitra J. Z. Hartmann