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PERCOM
2003
ACM
14 years 1 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...
PROCEDIA
2010
89views more  PROCEDIA 2010»
13 years 6 months ago
Computing for construal: an exploratory study of desert ant navigation
The study of ant navigation is a rich source of empirical data and speculative theories that has been well-documented in the scientific literature. We describe and illustrate how ...
Daniel Keer, Steve Russ, Meurig Beynon
UIC
2007
Springer
14 years 1 months ago
Activity Recognition Using an Egocentric Perspective of Everyday Objects
This paper presents an activity recognition approach based on the tracking of a specific human actor’s current object manipulation actions, complemented by two kinds of situation...
Dipak Surie, Thomas Pederson, Fabien Lagriffoul, L...
EMNLP
2010
13 years 5 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer
ICRA
2008
IEEE
133views Robotics» more  ICRA 2008»
14 years 2 months ago
Object separation using active methods and multi-view representations
— Daily life objects reveal natural similarities, which cannot be resolved with the perception of a single view. In this paper, we present an approach for object separation using...
Kai Welke, Tamim Asfour, Rüdiger Dillmann