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113
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PERCOM
2003
ACM
15 years 6 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
113
Voted
EATCS
1998
250views more  EATCS 1998»
15 years 10 days ago
Human Visual Perception and Kolmogorov Complexity: Revisited
Experiments have shown [2] that we can only memorize images up to a certain complexity level, after which, instead of memorizing the image itself, we, sort of, memorize a probabil...
Vladik Kreinovich, Luc Longpré
102
Voted
ICPR
2010
IEEE
15 years 6 months ago
A Global Spatio-Temporal Representation for Action Recognition
In this paper we introduce an effective method to construct a global spatio-temporal representation for action recognition. This representation is inspired by the fact that human ...
Chao Deng, Xiaochun Cao
144
Voted
ICCV
2011
IEEE
14 years 21 days ago
Discriminative Figure-Centric Models for Joint Action Localization and Recognition
In this paper we develop an algorithm for action recognition and localization in videos. The algorithm uses a figurecentric visual word representation. Different from previous ap...
Tian Lan, Yang Wang, Greg Mori
120
Voted
ICIA
2007
15 years 3 months ago
Learning Interaction between Conflicting Human Agents and Their Assistants
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Boris Galitsky, Boris Kovalerchuk