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» Computing with Action Potentials
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CVPR
2008
IEEE
14 years 10 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
CVPR
2012
IEEE
11 years 10 months ago
Model recommendation for action recognition
Simply choosing one model out of a large set of possibilities for a given vision task is a surprisingly difficult problem, especially if there is limited evaluation data with whi...
Pyry Matikainen, Rahul Sukthankar, Martial Hebert
BVAI
2007
Springer
13 years 12 months ago
A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features
Abstract. The aim of this paper is to introduce a novel, biologically inspired approach to extract visual features relevant for controlling and understanding reachto-grasp actions....
Roberto Prevete, Matteo Santoro, Ezio Catanzariti,...
FLAIRS
2008
13 years 10 months ago
Towards Getting Domain Knowledge: Plans Analysis through Investigation of Actions Dependencies
There are a lot of approaches for solving planning problems. Many of these approaches are based on `brute force` search methods and do not care about structures of plans previousl...
Lukás Chrpa, Roman Barták
AVI
1996
13 years 9 months ago
Closing the loop: modelling action, perception and information
Visual interfaces to computer systems are interactive. The cycle of visual interaction involves both visual perception and action. This paper examines formal models of interactive...
Alan J. Dix