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» Efficient Learning of Relational Object Class Models
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138
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FIRSTMONDAY
2010
163views more  FIRSTMONDAY 2010»
15 years 19 days ago
Bubbles, gullibility, and other challenges for economics, psychology, sociology, and information sciences
Abstract. Gullibility is the principal cause of bubbles. Investors and the general public get snared by a "beautiful illusion" and throw caution to the wind. Attempts to ...
Andrew M. Odlyzko
IROS
2009
IEEE
205views Robotics» more  IROS 2009»
15 years 10 months ago
Probabilistic categorization of kitchen objects in table settings with a composite sensor
— In this paper, we investigate the problem of 3D object categorization of objects typically present in kitchen environments, from data acquired using a composite sensor. Our fra...
Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jai...
GG
2008
Springer
15 years 4 months ago
Graph Transformation for Topology Modelling
In this paper we present meta-rules to express an infinite class of semantically related graph transformation rules in the context of pure topological modelling with G-maps. Our p...
Mathieu Poudret, Agnès Arnould, Jean-Paul C...
118
Voted
MM
2009
ACM
230views Multimedia» more  MM 2009»
15 years 9 months ago
Query expansion for hash-based image object retrieval
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Yin-Hsi Kuo, Kuan-Ting Chen, Chien-Hsing Chiang, W...
ICML
2010
IEEE
15 years 4 months ago
Rectified Linear Units Improve Restricted Boltzmann Machines
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...
Vinod Nair, Geoffrey E. Hinton