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IJCAI
2003
13 years 11 months ago
A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
Sebastian Thrun, Geoffrey J. Gordon, Frank Pfennin...
CAIP
2005
Springer
102views Image Analysis» more  CAIP 2005»
14 years 3 months ago
Improvement of a Person Labelling Method Using Extracted Knowledge on Costume
This paper presents a novel approach for automatic person labelling in video sequences using costumes. The person recognition is carried out by extracting the costumes of all the p...
Gaël Jaffré, Philippe Joly
SIGSOFT
2001
ACM
14 years 10 months ago
Detecting implied scenarios in message sequence chart specifications
Scenario-based specifications such as Message Sequence Charts (MSCs) are becoming increasingly popular as part of a requirements specification. Scenarios describe how system compo...
Jeff Kramer, Jeff Magee, Sebastián Uchitel
SIGSOFT
2003
ACM
14 years 10 months ago
Behaviour model elaboration using partial labelled transition systems
State machine based formalisms such as labelled transition systems (LTS) are generally assumed to be complete descriptions m behaviour at some level of abstraction: if a labelled ...
Sebastián Uchitel, Jeff Kramer, Jeff Magee
TNN
2008
119views more  TNN 2008»
13 years 9 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal