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ILP
2003
Springer
15 years 11 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
MICCAI
2007
Springer
16 years 5 days ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
EMNLP
2008
15 years 7 months ago
Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network
Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
Gregor Leusch, Evgeny Matusov, Hermann Ney
CVPR
2010
IEEE
16 years 1 months ago
A Square-Root Sampling Approach to Fast Histogram-Based Search
We present an efficient pixel-sampling technique for histogram-based search. Given a template image as a query, a typical histogram-based algorithm aims to find the location of ...
Huang-Wei Chang, Hwann-Tzong Chen
ICIP
2002
IEEE
16 years 7 months ago
Reconstruction of irregularly-sampled images by regularization in spline spaces
We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a cubic spline repres...
Carlos Vázquez, Eric Dubois, Janusz Konrad