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CVPR
2011
IEEE
15 years 2 months ago
Learning invariance through imitation
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...
ICCV
1998
IEEE
16 years 8 months ago
Representation and Self-Similarity of Shapes
Representing shapes is a signi cant problem for vision systems that must recognize or classify objects. We derive a representation for a given shape by investigating its self-simi...
Tyng-Luh Liu, Davi Geiger, Robert Kohn
FLAIRS
2007
15 years 9 months ago
Structure Information in Decision Trees and Similar Formalisms
In attempting to address real-life decision problems, where uncertainty about input data prevails, some kind of representation of imprecise information is important and several ha...
Mats Danielson, Love Ekenberg, David Sundgren
IJCAI
2007
15 years 8 months ago
All Common Subsequences
Time series data abounds in real world problems. Measuring the similarity of time series is a key to solving these problems. One state of the art measure is the longest common sub...
Hui Wang
ECCV
2002
Springer
16 years 7 months ago
Using Robust Estimation Algorithms for Tracking Explicit Curves
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...