Trepo - Selaus asiasanan mukaan "113"
Viitteet 21-40 / 3533
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Accidentally Successful Searching: Users' Perceptions of a Digital Library
(2017)
conferencePeople usually search information by using queries that are targeted to match the wording of the documents in the collections. However, during their search processes they may discover some useful pieces of information they ... -
Accuracy evaluation of a linear positioning system for light field capture
Lecture Notes in Computer Science (2015)
conference<p>In this paper a method has been proposed for estimating the positions of a moving camera attached to a linear positioning system (LPS). By comparing the estimated camera positions with the expected positions, which ... -
Achieving Long-Lasting Digital Change in Higher Education
EPiC Series in Computing (2023)
conferenceThis paper proposes an approach for implementing long-lasting digital transformation in higher education. As a motivation for the approach, we describe four typical reasons why digital transformation does not reach the set ... -
Acoustic Scene Classification Across Multiple Devices Through Incremental Learning of Device-Specific Domains
(2024)
conferenceIn this paper, we propose using a domain-incremental learning approach for coping with different devices in acoustic scene classification. While the typical way to handle mismatched training data is through domain adaptation ... -
Acoustic Scene Classification using Deep Fisher network
(07 / 2023)
articleAcoustic Scene Classification (ASC) is the task of assigning a semantic label to an audio recording, based on the surrounding environment. In this work, a Fisher network is introduced for ASC. The proposed method mimics ... -
Acoustic scene classification: An overview of dcase 2017 challenge entries
(02.11.2018)
conference<p>We present an overview of the challenge entries for the Acoustic Scene Classification task of DCASE 2017 Challenge. Being the most popular task of the challenge, acoustic scene classification entries provide a ... -
Acoustic–phonetic characterization of affect in spontaneous Finnish
(09 / 2026)
articleEarlier studies of affect in spoken Finnish have largely been based on acted emotional expression, a relatively small number of speakers, and a narrow linguistic scope paired with predefined emotional categories. While ... -
Action-Oriented Programming Model: Collective Executions and Interactions in the Fog
(01.11.2019)
article<p>Today's dominant design for the Internet of Things (IoT) is a Cloud-based system, where devices transfer their data to a back-end and in return receive instructions on how to act. This view is challenged when ... -
Active labour market policies in emerging adulthood may act as a protective factor against future depressiveness: an analysis of the long-term trajectories of depressive symptoms in the Northern Swedish Cohort
(2024)
articleIntroduction: Drawing upon the framework of life course epidemiology, this study aligns with research on the mental health consequences of significant social transitions during early adulthood. The focus is on the variation ... -
Active Learning for Sound Event Classification by Clustering Unlabeled Data
(2017)
conferenceThis paper proposes a novel active learning method to save annotation effort when preparing material to train sound event classifiers. K-medoids clustering is performed on unlabeled sound segments, and medoids of clusters ... -
An active learning method using clustering and committee-based sample selection for sound event classification
(02.11.2018)
conference<p>This paper proposes an active learning method to control a labeling process for efficient annotation of acoustic training material, which is used for training sound event classifiers. The proposed method performs ... -
Active Object Recognition via Monte Carlo Tree Search
(30.05.2015)
conferenceThis paper considers object recognition with a camera, whose viewpoint can be controlled in order to improve the recognition results. The goal is to choose a multi-view camera trajectory in order to minimize the probability ... -
Active real-time learning on a test rig for pressure-spike mitigation in digital hydraulic systems
(2026)
articleSuppressing rapid pressure spikes is important for safe and reliable operation of hydraulic systems. The problemarises especially in digital hydraulic valve systems. This work presents an on-rig training and testing ... -
Active Short-Long Exposure Deblurring
Proceedings - International Conference on Pattern Recognition (2022)
conference<p>Mobile phones can capture image bursts to produce high quality still photographs. The simplest form of a burst is two frame short-long (S-L) exposure. S-L exposure is particularly suitable in low light conditions ... -
ADAM: A general method for using various data types in asteroid reconstruction
(01.04.2015)
article<p>We introduce ADAM, the All-Data Asteroid Modelling algorithm. ADAM is simple and universal since it handles all disk-resolved data types (adaptive optics or other images, interferometry, and range-Doppler radar ... -
ADAPT: Fairness & diversity for sequential group recommendations
(2025)
articleIn group recommendation systems, achieving a balance between fairness and diversity is a challenging yet crucial task, particularly in sequential settings where preferences evolve over multiple iterations. This paper ... -
Adaptation and Attention for Neural Video Coding
Proceedings - 23rd IEEE International Symposium on Multimedia, ISM 2021 (2021)
conferenceNeural image coding represents now the state-of-The-Art image compression approach. However, a lot of work is still to be done in the video domain. In this work, we propose an end-To-end learned video codec that introduces ... -
Adaptation and psychometric investigation of the Gameful Experience Questionnaire (GAMEFULQUEST) in Brazilian Portuguese
(2024)
articleOver the years, the use of questionnaires has become one of the most used methods for analyzing individuals’ experiences. Especially in the area of gameful environments (e.g., games, gamification, and simulators), the ... -
Adaptive Aggregation of Multiple Denoisers with Mismatched Correlated Noise Models
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (2026)
conferenceDenoisers for stationary correlated noise require explicit or implicit knowledge of the noise power spectral density (PSD). However, the PSD characterizes the noise correlation only as long as this is stationary. Yet, even ...
