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ICMLA
2007
14 years 11 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
AMDO
2006
Springer
15 years 1 months ago
Shape-Motion Based Athlete Tracking for Multilevel Action Recognition
An automatic human shape-motion analysis method based on a fusion architecture is proposed for human action recognition in videos. Robust shape-motion features are extracted from h...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...
BMVC
2010
14 years 7 months ago
A Wavelet Based Local Descriptor for Human Action Recognition
In interest point based human action recognition, local descriptors are used to represent information in the neighbourhood around each extracted space-time interest point. The per...
Ling Shao, Ruoyun Gao
EJIVP
2010
107views more  EJIVP 2010»
14 years 4 months ago
Unsupervised Action Classification Using Space-Time Link Analysis
Abstract--In this paper we address the problem of unsupervised discovery of action classes in video data. Different from all existing methods thus far proposed for this task, we pr...
Haowei Liu, Rogerio Feris, Volker Krüger, Min...
ICCV
2011
IEEE
13 years 9 months ago
Feature Seeding for Action Recognition
Progress in action recognition has been in large part due to advances in the features that drive learning-based methods. However, the relative sparsity of training data and the ri...
Pyry Matikainen, Rahul Sukthankar, Martial Hebert