Search results for "support"
showing 10 items of 2310 documents
Human experts vs. machines in taxa recognition
2020
The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards the ability and logic of machines. In our study, we investigate both the differences in accuracy and in the identification logic of taxonomic experts and machines. We propose a systematic approach utilizing deep Convolutional Neural Nets with the transfer learning paradigm and extensively evaluate it over a multi-pose taxonomic dataset with hierarchical labels specifically created for this comparison. We also study the prediction accuracy on different ranks of taxonomic hier…
A survey of active learning algorithms for supervised remote sensing image classification
2011
Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively improving the model performance through sampling. A user-defined heuristic ranks the unlabeled pixels according to a function of the uncertainty of their class membership and then the user is asked to provide labels for the most uncertain pixels. This paper reviews and tests the main families of active …
Randomized Block Frank–Wolfe for Convergent Large-Scale Learning
2017
Owing to their low-complexity iterations, Frank-Wolfe (FW) solvers are well suited for various large-scale learning tasks. When block-separable constraints are present, randomized block FW (RB-FW) has been shown to further reduce complexity by updating only a fraction of coordinate blocks per iteration. To circumvent the limitations of existing methods, the present work develops step sizes for RB-FW that enable a flexible selection of the number of blocks to update per iteration while ensuring convergence and feasibility of the iterates. To this end, convergence rates of RB-FW are established through computational bounds on a primal sub-optimality measure and on the duality gap. The novel b…
A Unified SVM Framework for Signal Estimation
2013
This paper presents a unified framework to tackle estimation problems in Digital Signal Processing (DSP) using Support Vector Machines (SVMs). The use of SVMs in estimation problems has been traditionally limited to its mere use as a black-box model. Noting such limitations in the literature, we take advantage of several properties of Mercer's kernels and functional analysis to develop a family of SVM methods for estimation in DSP. Three types of signal model equations are analyzed. First, when a specific time-signal structure is assumed to model the underlying system that generated the data, the linear signal model (so called Primal Signal Model formulation) is first stated and analyzed. T…
Audio-video people recognition system for an intelligent environment
2011
In this paper an audio-video system for intelligent environments with the capability to recognize people is presented. Users are tracked inside the environment and their positions and activities can be logged. Users identities are assessed through a multimodal approach by detecting and recognizing voices and faces through the different cameras and microphones installed in the environment. This approach has been chosen in order to create a flexible and cheap but reliable system, implemented using consumer electronics. Voice features are extracted by a short time cepstrum analysis, and face features are extracted using the eigenfaces technique. The recognition task is solved using the same Su…
Supporting Awareness in Creative Group Work by Exposing Design Rationale
2011
When creativity is taken as a long-term, complex, and collaborative activity, support for awareness is required for group members to monitor the development of ideas, track how these ideas became narrowed, and understand how alternatives are being implemented and integrated by colleagues. In this paper, we investigate the effects of exposing design rationale to convey awareness, specifically activity awareness, in group creativity. Through evaluating a prototype, we investigate status updates that convey design rationale, and to what consequences, in small groups in fully distributed collaboration. We found that status updates are used for a variety of purposes and that participants’ commen…
Usage of Facebook- and Anonymous Forum–Based Peer Support Groups Online and Their Influence on Perceived Social Support Types in Weight Loss
2016
This paper contributes to the discussion on health behavior change support systems by examining one of the persuasive software features, social support. The paper studies the influence of structural social support on functional social support types in the online environment. Specifically, the paper examines the frequency of using two different kinds of online social platforms (online forums and Facebook groups) that are used to facilitate peer social support in weight loss and their influence on perceived functional social support types (emotional, informational, and instrumental). The results show that frequent use of Facebook based support peer group facilitates perceived emotional, infor…
Research on Emotion Recognition and Dementias: Foundations and Prospects
2021
Background: The study of emotion recognition could be crucial for detecting alterations in certain cognitive areas or as an early sign of neurological disorders. Objective: The main objective of the study is to characterize research development on emotion recognition, identifying the intellectual structure that supports this area of knowledge, and the main lines of research attracting investigators’ interest. Methods: We identified publications on emotion recognition and dementia included in the Web of Science Core Collection, analyzing the scientific output and main disciplines involved in generating knowledge in the area. A co-citation analysis and an analysis of the bibliographic couplin…
Estrategias de afrontamiento en padres de niños con cáncer
2012
Se pretende conocer las estrategias de afrontamiento que utilizan los padres de niños con cáncer ante al reto que supone esta enfermedad. Se ha utilizado una metodología de investigación grupal y cualitativa. La muestra la constituyen 14 madres/padres cuyos hijos hace más de dos años que han contraído la enfermedad. Se ha comprobado que los padres utilizan una gran variedad de estrategias. Unas son activas: centrada en el problema (adecuación a la acción y calma, entereza y reflexión); regulación afectiva; búsqueda de información; adquisición de apoyo social, instrumental, informativo y/o emocional; reevaluación o reestructuración cognitiva y pensamiento positivo; y distracción. Otras son p…
Gynaecological cancer patients` experience with sexual counselling : A qualitative metasynthesis
2018
Master's thesis Clinical health sciences ME520 - University of Agder 2018 Background: Changes to sexuality can be one of the most difficult aspects of life following treatment for gynaecologic cancer. It is important to address gynaecological cancer survivors need for counselling on this matter and find out more on how they experience sexual counselling. Aim: The purpose of this study is to explore gynaecological cancer patients` experience with sexual counselling. Methods: Inspired by Sandelowski and Barroso a qualitative metasynthesis was conducted, based on a systematic literature search in CINAHL (EBSCO Host), MEDLINE (OvidSP) and Psycinfo (Ovid SP) during September 2017. The findings w…