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» Modeling Problem Transformations based on Data Complexity
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UC
2009
Springer
15 years 11 months ago
Resource-Competing Oscillator Network as a Model of Amoeba-Based Neurocomputer
Abstract. An amoeboid organism, Physarum, exhibits rich spatiotemporal oscillatory behavior and various computational capabilities. Previously, the authors created a recurrent neur...
Masashi Aono, Yoshito Hirata, Masahiko Hara, Kazuy...
CVPR
2010
IEEE
16 years 1 months ago
The Cluttered Background Problem for Active Contours: A Minimum-Latency Solution
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embedd...
Stefano Soatto, Ganesh Sundaramoorthi, Anthony Yez...
COGSCI
2008
90views more  COGSCI 2008»
15 years 4 months ago
Using fMRI to Test Models of Complex Cognition
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated...
John R. Anderson, Cameron S. Carter, Jon M. Fincha...
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 9 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
ICRA
2006
IEEE
174views Robotics» more  ICRA 2006»
15 years 11 months ago
Multi-scale point and line range data algorithms for mapping and localization
— This paper presents a multi-scale point and line based representation of two-dimensional range scan data. The techniques are based on a multi-scale Hough transform and a tree r...
Samuel T. Pfister, Joel W. Burdick