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» Inferring High-Level Behavior from Low-Level Sensors
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ATAL
2006
Springer
13 years 9 months ago
Learning executable agent behaviors from observation
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Char...
IVC
2000
182views more  IVC 2000»
13 years 5 months ago
Expert system for automatic analysis of facial expressions
This paper discusses our expert system called Integrated System for Facial Expression Recognition (ISFER), which performs recognition and emotional classification of human facial ...
Maja Pantic, Léon J. M. Rothkrantz
ICRA
2006
IEEE
130views Robotics» more  ICRA 2006»
13 years 11 months ago
Mathematical Foundation for Hormone-inspired Control for Self-reconfigurable Robotic Systems
– In this paper, we present a general mathematical foundation of hormone-inspired control for the selfreconfigurable robotic system. Problem considered here is the lack of a math...
Feili Hou, Wei-Min Shen
INFOCOM
2009
IEEE
13 years 12 months ago
Event Recognition in Sensor Networks by Means of Grammatical Inference
Abstract—Modern military and civilian surveillance applications should provide end users with the high level representation of events observed by sensors rather than with the raw...
Sahin Cem Geyik, Boleslaw K. Szymanski
CVPR
1998
IEEE
14 years 7 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov