Results 1 - 10 of 49,065

3-D Motion and Structure Estimation Using Inertial Sensors and Computer Vision for Augmented Reality

by Lin Chai, William A. Hoff, William A. Hoff (corresponding, Tyrone Vincent - Presence , 2000
"... A new method for registration in augmented reality (AR) was developed that simultaneously tracks the position, orientation, and motion of the user's head, as well as estimating the three-dimensional (3-D) structure of the scene. The method fuses data from headmounted cameras and head-mounted in ..."
Abstract - Cited by 23 (0 self) - Add to MetaCart
-mounted inertial sensors. Two Extended Kalman Filters (EKF) are used; one of which estimates the motion of the user's head and the other that estimates the 3-D locations of points in the scene. A recursive loop is used between the two EKFs. The algorithm was tested using a combination of synthetic and real

Hierarchical model-based motion estimation

by James R. Bergen, P. Anandan, Th J. Hanna, Rajesh Hingorani , 1992
"... This paper describes a hierarchical estimation framework for the computation of diverse representations of motion information. The key features of the resulting framework (or family of algorithms) a,re a global model that constrains the overall structure of the motion estimated, a local rnodel that ..."
Abstract - Cited by 664 (15 self) - Add to MetaCart
This paper describes a hierarchical estimation framework for the computation of diverse representations of motion information. The key features of the resulting framework (or family of algorithms) a,re a global model that constrains the overall structure of the motion estimated, a local rnodel

Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks

by Alec Woo, Terence Tong, David Culler - In SenSys , 2003
"... The dynamic and lossy nature of wireless communication poses major challenges to reliable, self-organizing multihop networks. These non-ideal characteristics are more problematic with the primitive, low-power radio transceivers found in sensor networks, and raise new issues that routing protocols mu ..."
Abstract - Cited by 781 (20 self) - Add to MetaCart
-node, in-depth empirical experiments. The most effective solution uses a simple time averaged EWMA estimator, frequency based table management, and cost-based routing.

Range-Free Localization Schemes for Large Scale Sensor Networks

by Tian He, Chengdu Huang, Brain M. Blum, John A. Stankovic, Tarek Abdelzaher , 2003
"... Wireless Sensor Networks have been proposed for a multitude of location-dependent applications. For such systems, the cost and limitations of hardware on sensing nodes prevent the use of range-based localization schemes that depend on absolute point-to-point distance estimates. Because coarse accura ..."
Abstract - Cited by 525 (8 self) - Add to MetaCart
Wireless Sensor Networks have been proposed for a multitude of location-dependent applications. For such systems, the cost and limitations of hardware on sensing nodes prevent the use of range-based localization schemes that depend on absolute point-to-point distance estimates. Because coarse

Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors

by Takeshi Sakaki, Makoto Okazaki, Yutaka Matsuo - In Proceedings of the Nineteenth International WWW Conference (WWW2010). ACM , 2010
"... Twitter, a popular microblogging service, has received much attention recently. An important characteristic of Twitter is its real-time nature. For example, when an earthquake occurs, people make many Twitter posts (tweets) related to the earthquake, which enables detection of earthquake occurrence ..."
Abstract - Cited by 524 (4 self) - Add to MetaCart
, which are widely used for location estimation in ubiquitous/pervasive computing. The particle filter works better than other compared methods in estimating the centers of earthquakes and the trajectories of typhoons. As an application, we construct an earthquake reporting system in Japan. Because

Longitudinal data analysis using generalized linear models”.

by Kung-Yee Liang , Scott L Zeger - Biometrika, , 1986
"... SUMMARY This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of estimating equations that give consistent estimates of the regression parameters and of their variance under mild assumptions about the time dependence. The estimating ..."
Abstract - Cited by 1526 (8 self) - Add to MetaCart
-dependence and exchangeable correlation structures from each subject are discussed. Efficiency of the proposed estimators in two simple situations is considered. The approach is closely related to quasi-likelihood.

Structural equation modeling in practice: a review and recommended two-step approach.

by James C Anderson , J L Kellogg , David W Gerbing , Jeanne Brett , Claes Fornell , David Larcker , William Perreault Jr , James Steiger - Psychological Bulletin, , 1988
"... In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We di ..."
Abstract - Cited by 1825 (3 self) - Add to MetaCart
and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed. Substantive use of structural equation modeling has been growing in psychology and the social sciences. One reason

An Algorithm for Tracking Multiple Targets

by Donald B. Reid - IEEE Transactions on Automatic Control , 1979
"... Abstract—An algorithm for tracking multiple targets In a cluttered algorithms. Clustering is the process of dividing the entire environment Is developed. The algorithm Is capable of Initiating tracks, set of targets and measurements into independent groups accounting for false or m[~clngreports, and ..."
Abstract - Cited by 596 (0 self) - Add to MetaCart
target, or that the measurement Is false. nally, it is desirable for an algorithm to be recursive so Target states are estimated from each such da*a-as.soclatloo hypothesis that all the previous data do not have to be reprocessed using a 1C~InlQnfilter. As mere measurements are received, the probabill

Route Packets, Not Wires: On-Chip Interconnection Networks

by William J. Dally, Brian Towles , 2001
"... Using on-chip interconnection networks in place of ad-hoc global wiring structures the top level wires on a chip and facilitates modular design. With this approach, system modules (processors, memories, peripherals, etc...) communicate by sending packets to one another over the network. The structur ..."
Abstract - Cited by 885 (10 self) - Add to MetaCart
. The structured network wiring gives well-controlled electrical parameters that eliminate timing iterations and enable the use of high-performance circuits to reduce latency and increase bandwidth. The area overhead required to implement an on-chip network is modest, we estimate 6.6%. This paper introduces

Locally weighted learning

by Christopher G. Atkeson, Andrew W. Moore , Stefan Schaal - ARTIFICIAL INTELLIGENCE REVIEW , 1997
"... This paper surveys locally weighted learning, a form of lazy learning and memorybased learning, and focuses on locally weighted linear regression. The survey discusses distance functions, smoothing parameters, weighting functions, local model structures, regularization of the estimates and bias, ass ..."
Abstract - Cited by 599 (51 self) - Add to MetaCart
This paper surveys locally weighted learning, a form of lazy learning and memorybased learning, and focuses on locally weighted linear regression. The survey discusses distance functions, smoothing parameters, weighting functions, local model structures, regularization of the estimates and bias
Results 1 - 10 of 49,065