Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Maja Karasalo"'
Autor:
Johan Schubert, Maja Karasalo
Publikováno v:
ICDAR
In this application-oriented paper, we develop a methodology and a system for horizon scanning of scientific literature to discover scientific trends. Literature within a broadly defined field is automatically clustered and ranked based on topic and
Publikováno v:
SemEval@NAACL-HLT
This paper describes the system used and results obtained for team FOI DSS at SemEval-2018 Task 1: Affect In Tweets. The team participated in all English language subtasks, with a method utilizing transfer learning from LSTM nets trained on large sen
Publikováno v:
SemEval@ACL
For the competition SemEval-2017 we investigated the possibility of performing stance classification (support, deny, query or comment) for messages in Twitter conversation threads related to rumours. Stance classification is interesting since it can
Autor:
Magdalena Granasen, Maja Karasalo
Publikováno v:
EISIC
This paper describes the final development of a method and technical tool developed to support structured analysis of multiple hypotheses. The developed analysis method is an iterative process combining Morphological Analysis (MA) and Analysis of Com
Autor:
Xiaoming Hu, Maja Karasalo
Publikováno v:
Robotics and Autonomous Systems. 58:1003-1016
In this paper, control algorithms are presented for formation keeping and path following for non-holonomic platforms. The controls are based on feedback from onboard directional range sensors, and a switching Kalman filter is introduced for active se
Publikováno v:
International Journal of Control. 80:1651-1664
This paper presents some new results on non-regular linearization of non-linear systems. Based on a normal form and a non-regular linearization technique developed recently, the paper first provides a set of calculating formulas for the linearization
Publikováno v:
EISIC
In this paper, we present an analysis tool that is developed to support the process of generating and evaluating a large set of hypotheses. The computer tool is to a large extent based on two established analytical methods, Morphological Analysis and
Publikováno v:
Perspectives in Mathematical System Theory, Control, and Signal Processing ISBN: 9783540939177
In this paper, a method is developed for estimating the optimal smoothing parameter e for periodic control theoretic smoothing splines. The procedure is based on general cross validation (GCV) and requires no a priori information about the underlying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4abbe6e2c43103045b8c93911079713
https://doi.org/10.1007/978-3-540-93918-4_9
https://doi.org/10.1007/978-3-540-93918-4_9
Publikováno v:
ECC
Scopus-Elsevier
Scopus-Elsevier
In this paper we consider the problem of retrieving information from a set of noisy and distorted measurements. More precisely we consider a scenario where a set of trajectories x 1 (t),…,x n (t) are observed using a single measuring device so that
Autor:
Xiaoming Hu, Maja Karasalo
Publikováno v:
CDC
In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optimization problem over a shortwindow of data. The algorithm recovers the obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a60f71e6dee9314029d444c2cefae0ce
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11145
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11145