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NECO
2010
136views more  NECO 2010»
13 years 4 months ago
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
Roland Memisevic, Geoffrey E. Hinton
PAMI
2007
245views more  PAMI 2007»
13 years 5 months ago
Tracking People by Learning Their Appearance
—An open vision problem is to automatically track the articulations of people from a video sequence. This problem is difficult because one needs to determine both the number of p...
Deva Ramanan, David A. Forsyth, Andrew Zisserman
SASO
2007
IEEE
14 years 16 days ago
A Space- and Time-Continuous Model of Self-Organizing Robot Swarms for Design Support
— Designing and implementing artificial self-organizing systems is a challenging task since they typically behave nonintuitive and no theoretical foundations exist. Predicting a...
Heiko Hamann, Heinz Wörn
COGCOM
2010
107views more  COGCOM 2010»
13 years 3 months ago
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention
To decide ``Where to look next ?'' is a central function of the attention system of humans, animals and robots. Control of attention depends on three factors, that is, lo...
Marco Wischnewski, Anna Belardinelli, Werner X. Sc...
NIPS
1998
13 years 7 months ago
Divisive Normalization, Line Attractor Networks and Ideal Observers
Gain control by divisive inhibition, a.k.a. divisive normalization, has been proposed to be a general mechanism throughout the visual cortex. We explore in this study the statisti...
Sophie Deneve, Alexandre Pouget, Peter E. Latham