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ECCV
2008
Springer
16 years 8 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
ICPR
2008
IEEE
16 years 26 days ago
Pose sentences: A new representation for action recognition using sequence of pose words
We propose a method for recognizing human actions in videos. Inspired from the recent bag-of-words approaches, we represent actions as documents consisting of words, where a word ...
Kardelen Hatun, Pinar Duygulu
CIKM
2005
Springer
15 years 12 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
CVPR
2004
IEEE
16 years 8 months ago
Extraction and Recognition of Periodically Deforming Objects by Continuous, Spatio-Temporal Shape Description
We demonstrate a novel approach to modelling arbitrary temporally-deforming objects using spatio-temporal Fourier descriptors. This is a continuous boundary descriptor, which can ...
Stuart D. Mowbray, Mark S. Nixon
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
15 years 11 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu