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AAAI
2007
14 years 15 days ago
Propagating Knapsack Constraints in Sublinear Time
We develop an efficient incremental version of an existing cost-based filtering algorithm for the knapsack constraint. On a universe of n elements, m invocations of the algorith...
Irit Katriel, Meinolf Sellmann, Eli Upfal, Pascal ...
COGSCI
2010
107views more  COGSCI 2010»
13 years 10 months ago
Inferring Hidden Causal Structure
We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a ...
Tamar Kushnir, Alison Gopnik, Chris Lucas, Laura S...
ECCV
2008
Springer
15 years 2 days ago
The Bi-directional Framework for Unifying Parametric Image Alignment Approaches
In this paper, a generic bi-directional framework is proposed for parametric image alignment, that extends the classification of [1]. Four main categories (Forward, Inverse, Depend...
Jean-Baptiste Authesserre, Rémi Mégr...
ICPR
2006
IEEE
14 years 11 months ago
Fast Support Vector Machine Classification using linear SVMs
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
Karina Zapien Arreola, Janis Fehr, Hans Burkhardt
BIBE
2008
IEEE
121views Bioinformatics» more  BIBE 2008»
14 years 4 months ago
Joining retinal vessel segments
—A new method is introduced for joining vessel segments together to form a vessel graph. Using a reference image set from the Sunderland Eye Infirmary, we analysed the retinal b...
Bashir Al-Diri, Andrew Hunter, David Steel, Maged ...