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» Towards maximizing the accuracy of human-labeled sensor data
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IUI
2010
ACM
14 years 1 months ago
Towards maximizing the accuracy of human-labeled sensor data
We present two studies that evaluate the accuracy of human responses to an intelligent agent’s data classification questions. Prior work has shown that agents can elicit accurat...
Stephanie Rosenthal, Anind K. Dey
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 11 months ago
Optimal sensor hop selection: Sensor energy minimization and network lifetime maximization with guaranteed system performance
— In this paper we consider state estimation carried over a sensor network. A fusion center forms a local multi-hop tree of sensors and gateways and fuses the data into a state e...
Ling Shi, Karl Henrik Johansson, Richard M. Murray
SUTC
2006
IEEE
13 years 11 months ago
Detecting the Direction of Motion in a Binary Sensor Network
We examine the problem of detecting the direction of motion in a binary sensor network; in such a network each sensor’s value is supplied reliably in a single bit of information...
Panagiotis Karras, Nikos Mamoulis
ICASSP
2011
IEEE
12 years 8 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
NIPS
2007
13 years 6 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury