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PAMI
2010
168views more  PAMI 2010»
13 years 5 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»
13 years 2 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»
13 years 2 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
14 years 26 days 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
14 years 16 days 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