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» Variable selection using neural-network models
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ICANN
2005
Springer
15 years 3 months ago
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
Stephan Kirstein, Heiko Wersing, Edgar Körner
ECCV
2006
Springer
15 years 11 months ago
Uncalibrated Factorization Using a Variable Symmetric Affine Camera
Abstract. In order to reconstruct 3-D Euclidean shape by the TomasiKanade factorization, one needs to specify an affine camera model such as orthographic, weak perspective, and par...
Ken-ichi Kanatani, Yasuyuki Sugaya, Hanno Ackerman...
IJCNN
2000
IEEE
15 years 2 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
NECO
2002
145views more  NECO 2002»
14 years 9 months ago
Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
Aki Vehtari, Jouko Lampinen
MVA
1990
133views Computer Vision» more  MVA 1990»
14 years 11 months ago
Using and Generating Environment Models for Indoor Mobile Robots
An autonomous mobile robot must be able to combine uncertain sensory information with prior knowledge of the world. Moreover, these operations have to be performed fast enough for...
Yuval Roth-Tabak, Terry E. Weymouth