재정 지원 요구사항을 통해 공개된 자료 - Isaac Skog자세히 알아보기
제공된 곳이 없음: 1
Maximum likelihood separation of anthropogenic and wind-generated underwater noise
R Larsson Nordström, E Lalander, I Skog, M Andersson
The Journal of the Acoustical Society of America 152 (3), 1292-1299, 2022
재정 지원 요구사항 정책: Swedish Environmental Protection Agency
제공된 곳이 있음: 22
Foot-mounted INS for everybody-an open-source embedded implementation
JO Nilsson, I Skog, P Händel, KVS Hari
Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium …, 2012
재정 지원 요구사항 정책: Department of Science & Technology, India
Driving behavior analysis for smartphone-based insurance telematics
J Wahlström, I Skog, P Händel
Proceedings of the 2nd workshop on Workshop on Physical Analytics, 19-24, 2015
재정 지원 요구사항 정책: Swedish Research Council
A constraint approach for UWB and PDR fusion
F Zampella, A De Angelis, I Skog, D Zachariah, A Jiménez
2012 international conference on indoor positioning and indoor navigation …, 2012
재정 지원 요구사항 정책: Government of Spain
Modeling, detecting, and tracking freezing of gait in Parkinson disease using inertial sensors
GV Prateek, I Skog, ME McNeely, RP Duncan, GM Earhart, A Nehorai
IEEE Transactions on Biomedical Engineering 65 (10), 2152-2161, 2017
재정 지원 요구사항 정책: US National Institutes of Health
Online joint state inference and learning of partially unknown state-space models
A Kullberg, I Skog, G Hendeby
IEEE Transactions on Signal Processing 69, 4149-4161, 2021
재정 지원 요구사항 정책: Knut and Alice Wallenberg Foundation
Calibration and characterization of a magnetic positioning system using a robotic arm
F Santoni, A De Angelis, I Skog, A Moschitta, P Carbone
IEEE Transactions on Instrumentation and Measurement 68 (5), 1494-1502, 2018
재정 지원 요구사항 정책: Government of Italy
A prototype of a first-responder indoor localization system
KVS Hari, JO Nilsson, I Skog, P Händel, J Rantakokko, GV Prateek
Journal of the Indian Institute of Science 93 (3), 511-520, 2013
재정 지원 요구사항 정책: Department of Science & Technology, India
The -Model—Maximum Likelihood, Cramér–Rao Bounds, and Hypothesis Testing
J Wahlström, I Skog, PS La Rosa, P Händel, A Nehorai
IEEE Transactions on Signal Processing 65 (12), 3234-3246, 2017
재정 지원 요구사항 정책: US Department of Defense
A tightly-integrated magnetic-field aided inertial navigation system
C Huang, G Hendeby, I Skog
2022 25th International Conference on Information Fusion (FUSION), 1-8, 2022
재정 지원 요구사항 정책: Swedish Research Council
Learning motion patterns in AIS data and detecting anomalous vessel behavior
A Kullberg, I Skog, G Hendeby
2021 IEEE 24th International conference on information fusion (FUSION), 1-8, 2021
재정 지원 요구사항 정책: Knut and Alice Wallenberg Foundation
Learning driver behaviors using a Gaussian process augmented state-space model
A Kullberg, I Skog, G Hendeby
2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-7, 2020
재정 지원 요구사항 정책: Knut and Alice Wallenberg Foundation
MAINS: A Magnetic Field Aided Inertial Navigation System for Indoor Positioning
C Huang, G Hendeby, H Fourati, C Prieur, I Skog
IEEE Sensors Journal, 2024
재정 지원 요구사항 정책: Swedish Research Council, Agence Nationale de la Recherche
Iterated Filters for Nonlinear Transition Models
A Kullberg, I Skog, G Hendeby
2023 26th International Conference on Information Fusion (FUSION), 1-8, 2023
재정 지원 요구사항 정책: Knut and Alice Wallenberg Foundation
Magnetic-field based odometry–an optical flow inspired approach
I Skog, G Hendeby, F Trulsson
2021 International Conference on Indoor Positioning and Indoor Navigation …, 2021
재정 지원 요구사항 정책: Swedish Research Council
Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty
M Malmström, I Skog, D Axehill, F Gustafsson
2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-6, 2021
재정 지원 요구사항 정책: Vinnova, Sweden
Detection of outliers in classification by using quantified uncertainty in neural networks
M Malmström, I Skog, D Axehill, F Gustafsson
2022 25th International Conference on Information Fusion (FUSION), 1-7, 2022
재정 지원 요구사항 정책: Vinnova, Sweden
Uncertainty quantification in neural network classifiers—A local linear approach
M Malmström, I Skog, D Axehill, F Gustafsson
Automatica 163, 111563, 2024
재정 지원 요구사항 정책: Swedish Research Council, Vinnova, Sweden
Extended target tracking utilizing machine-learning software–with applications to animal classification
M Malmström, A Kullberg, I Skog, D Axehill, F Gustafsson
IEEE Signal Processing Letters, 2024
재정 지원 요구사항 정책: Vinnova, Sweden
On the Relationship Between Iterated Statistical Linearization and Quasi–Newton Methods
A Kullberg, MA Skoglund, I Skog, G Hendeby
IEEE Signal Processing Letters 30, 1777-1781, 2023
재정 지원 요구사항 정책: Knut and Alice Wallenberg Foundation
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