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NIPS
2004
15 years 6 months ago
Inference, Attention, and Decision in a Bayesian Neural Architecture
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
Angela J. Yu, Peter Dayan
COODBSE
1994
85views more  COODBSE 1994»
15 years 6 months ago
Understanding Software Systems Using Reverse Engineering Technology
Software engineering research has focused primarily on software construction, neglecting software maintenance and evolution. Observed is a shift in research from synthesis to anal...
Hausi A. Müller, Kenny Wong, Scott R. Tilley
ENTCS
2010
99views more  ENTCS 2010»
15 years 4 months ago
Describing Secure Interfaces with Interface Automata
Interface automata are a model that allows for the representation of stateful interfaces. In this paper we introduce a variant of interface automata, which we call interface struc...
Matias Lee, Pedro R. D'Argenio
MVA
2002
146views Computer Vision» more  MVA 2002»
15 years 4 months ago
Motion segmentation and pose recognition with motion history gradients
This paper uses a simple method for representing motion in successively layered silhouettes that directly encode system time termed the timed Motion History Image (tMHI). This rep...
Gary R. Bradski, James W. Davis
PAMI
2007
131views more  PAMI 2007»
15 years 4 months ago
The Gray-Code Filter Kernels
—In this paper, we introduce a family of filter kernels—the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or