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ATAL
2010
Springer
15 years 7 months ago
Aggregating preferences in multi-issue domains by using maximum likelihood estimators
In this paper, we study a maximum likelihood estimation (MLE) approach to preference aggregation and voting when the set of alternatives has a multi-issue structure, and the voter...
Lirong Xia, Vincent Conitzer, Jérôme ...
ISMAR
2007
IEEE
16 years 22 days ago
Real-Time Object Tracking for Augmented Reality Combining Graph Cuts and Optical Flow
We present an efficient and accurate object tracking algorithm based on the concept of graph cut segmentation. The ability to track visible objects in real-time provides an inval...
Jonathan Mooser, Suya You, Ulrich Neumann
NIPS
2008
15 years 8 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre
ECAI
2010
Springer
15 years 7 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
CORR
2006
Springer
101views Education» more  CORR 2006»
15 years 6 months ago
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
We address the problem of autonomously learning controllers for visioncapable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for genera...
Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter,...