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» Modeling Neural Processes in Lindenmayer Systems
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PAMI
2010
113views more  PAMI 2010»
15 years 2 months ago
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
Iulian Pruteanu-Malinici, Lu Ren, John William Pai...
ECCV
2004
Springer
16 years 5 months ago
A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks
This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...
Iasonas Kokkinos, Rachid Deriche, Petros Maragos, ...
ICANN
2005
Springer
15 years 9 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
IJCNN
2008
IEEE
15 years 10 months ago
Stable reciprocal image associations in cognitive systems
—Sensory inputs such as visual images or audio spectrograms can act as symbols in a new cognitive model. The stability of direct image association operators allows the discrete b...
Douglas S. Greer
JCNS
2000
168views more  JCNS 2000»
15 years 3 months ago
Integrating Top-Down and Bottom-Up Sensory Processing by Somato-Dendritic Interactions
The classical view of cortical information processing is that of a bottom-up process in a feedforward hierarchy. However, psychophysical, anatomical, and physiological evidence sug...
Markus Siegel, Konrad P. Körding, Peter K&oum...