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SSS
2010
Springer
139views Control Systems» more  SSS 2010»
13 years 9 months ago
Vulnerability Analysis of High Dimensional Complex Systems
Complex systems experience dramatic changes in behavior and can undergo transitions from functional to dysfunctional states. An unstable system is prone to dysfunctional collective...
Vedant Misra, Dion Harmon, Yaneer Bar-Yam
PRL
1998
108views more  PRL 1998»
13 years 10 months ago
Determining local natural scales of curves
An alternative to representing curves at a single scale or a fixed number of multiple scales is to represent them only at their natural (i.e. most significant) scales. This allo...
Paul L. Rosin
ICPR
2010
IEEE
14 years 2 months ago
Parallel Scales for More Accurate Displacement Estimation in Phase-Based Image Registration
Phase-based methods are commonly applied in image registration. When working with phase-difference methods only a single scale is employed, although the algorithms are normally ite...
Daniel Forsberg, Mats Andersson, Hans Knutsson
GSN
2009
Springer
137views Sensor Networks» more  GSN 2009»
14 years 3 months ago
A Stimulus-Centric Algebraic Approach to Sensors and Observations
The understanding of complex environmental phenomena, such as deforestation and epidemics, requires observations at multiple scales. This scale dependency is not handled well by to...
Christoph Stasch, Krzysztof Janowicz, Arne Brö...
DAGM
2004
Springer
14 years 4 months ago
Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
Bastian Leibe, Bernt Schiele
ECCV
2004
Springer
15 years 24 days ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath