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CORR
2007
Springer
140views Education» more  CORR 2007»
15 years 6 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
ALIFE
1999
15 years 6 months ago
A New Structurally Dissolvable Self-Reproducing Loop Evolving in a Simple Cellular Automata Space
tion, structural dissolutionAbstract We constructed a simple evolutionary system, "evoloop," on a deterministic nine-state five-neighbor cellular automata (CA) space by i...
Hiroki Sayama
IJON
2010
129views more  IJON 2010»
15 years 5 months ago
Robust object tracking using a spatial pyramid heat kernel structural information representation
In this paper, we propose an object tracking framework based on a spatial pyramid heat kernel structural information representation. In the tracking framework, we take advantage o...
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
JMLR
2012
13 years 9 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
ISAAC
2007
Springer
108views Algorithms» more  ISAAC 2007»
16 years 1 months ago
Checking Value-Sensitive Data Structures in Sublinear Space
Checking value-sensitive data structures in sublinear space has been an open problem for over a decade. In this paper, we suggest a novel approach to solving it. We show that, in c...
Michael T. Goodrich, Jonathan Z. Sun