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PAMI
2010
168views more  PAMI 2010»
14 years 8 months ago
Surface-from-Gradients without Discrete Integrability Enforcement: A Gaussian Kernel Approach
—Representative surface reconstruction algorithms taking a gradient field as input enforces the integrability constraint in a discrete manner. While enforcing integrability allo...
Heung-Sun Ng, Tai-Pang Wu, Chi-Keung Tang
ML
2010
ACM
185views Machine Learning» more  ML 2010»
14 years 4 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
NHM
2010
100views more  NHM 2010»
14 years 4 months ago
A 2-adic approach of the human respiratory tree
We propose here a general framework to address the question of trace operators on a dyadic tree. This work is motivated by the modeling of the human bronchial tree which, thanks t...
Frédéric Bernicot, Bertrand Maury, D...
CP
2005
Springer
15 years 3 months ago
Applying Constraint Programming to Rigid Body Protein Docking
In this paper we show how Constraint Programming (CP) techniques can improve the efficiency and applicability of grid-based algorithms for optimising surface contact between comple...
Ludwig Krippahl, Pedro Barahona
ILP
2003
Springer
15 years 2 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon