1,720,974 research outputs found
Incremental object matching with probabilistic methods
This thesis deals with object matching, that is, the problem of locating the corresponding points of an object in an image. Conventional approaches to object matching are batch methods, meaning that the methods first learn the object model from a training set of example images that contain instances of the object, and then use the learned object model to match instances of the same object (or object class) in unseen test images. In matching the object in a test image, the visual correspondence of the points as well as their spatial layout is usually considered simultaneously. Typically the corresponding points of the object are manually pre-annotated in the training images which facilitates the learning process.
In this thesis, a novel approach is taken: The object matching is incremental. This means that the system is given images one at the time, and the images are matched by updating the object model after each processed image. In addition, the methods presented in this thesis use images as such, without utilizing any pre-annotation or pre-segmentation information, so the task can be considered of being extremely difficult. Although an incremental learning procedure has been presented before that learns an object model incrementally and detects whether the object appears in a test image or not, the proposed methods are the first ones that try to locate the corresponding points of the object by handling images one by one.
Like in the traditional object matching methods, the object model of the proposed methods also consists of spatially distributed local features. The adopted approach to the incremental matching is Bayesian; the likelihood corresponds to the appearance of the features and the prior distribution to the spatial layout. Recursive Bayesian formulas are utilized in updating the object model after each processed image and particle Monte Carlo methods are used to sample the posterior distribution. Results show that the methods are able to locate the corresponding points with similar accuracy as the batch matching methods. The learned object model can also be used in detection tasks, and according to the results, the detection capabilities of the presented methods are (almost) on a par with the batch detection methods, and superior to the reference incremental detection method
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Collaborative user interface design of a remote device control system
This thesis explores how the user interface of a remote device control system can be re-designed and re-implemented in collaboration with the users of the current sys- tem. First, a literature review is conducted to identify appropriate research methods for involving users in the design and implementation process. This is followed by exploring the evaluation methods that are used to collect numerical data about the current and the new user interface. The chosen methods for user involvement were focus groups and semi-structured interviews, and for evaluation methods System Usability Score and time-on-task were selected. The tools used to conduct the re- search are also introduced. The thesis then discussed the technical background and introduces more technical tools that are used.
The re-design process is done in collaboration with the users by using the data collected from the users as a foundation for the design. Figma prototypes are used to facilitate iterative design refinement in order to validate assumptions. The thesis then briefly discussed the implementation phase and the limitations related to it.
The current and the new user interface were compared against each other by using the selected evaluation methods. The new user interface was successful in improving both the SUS score and the time measured from time-on-task tasks. The average measured SUS score increased by 65%, transitioning from a grade of D to a grade of A+. Time spent on tasks was improved by 9%, although the change was smaller than anticipated
Partner-myyntikanavan kautta tehtävän myynnin käynnistäminen pilotoinnin avulla
Opinnäytetyössä selvitettiin Kotimaan Energian uuden partner-myyntikanavan kautta tehtävän myynnin käynnistämistä kodin elektroniikkaa myyvän ketjun Suomen liikkeissä pilotoinnin avulla. Työn tavoitteena oli luoda Kotimaan Energialle uusi, volyymiltaan iso myyntikanava sähkösopimusten myynnille. Opinnäytteessä keskityttiin ainoastaan pilotin suunnitteluun ja pilotin toteutukseen. Pilotti päätettiin skaalausvaiheen alettua.
Opinnäytetyö on toimintatutkimus. Tutkimusmenetelminä käytettiin pilotin suunnitteluvaiheessa benchmarkingia ja haastattelututkimusta. Pilotin tuotantovaiheessa tehtiin havainnointia myymälöissä ja kerätyn asiakas- ja myyjäpalautteen perusteella kehitettiin pilotin aikana myyntimallia, koulutus- ja valmennuskäytänteitä.
Pilotin suunnitteluvaihetta varten opinnäytetyöntekijä tutustui Norjassa Kotimaan Energian tytäryhtiön vastaavaan toimintamalliin ja benchmarkingin ja haastattelututkimuksen perusteella myynti käynnistettiin myös Suomessa. Pilotoinnin tuotantovaihe aloitettiin kolmessa myymälässä, joiden henkilöstö koulutettiin etäoppimisen, luokkahuonekoulutusten ja käytännön työssä oppimisen keinoin.
Myynti ei lähtenyt aluksi käyntiin johtuen myyjien näkökulmasta hankalasta myyntimallista, joka loi myyjiin ja tuotteen ympärille huonoa ilmapiiriä. Pilottivaiheeseen otettiin tällöin kaksi uutta myymälää mukaan. Näille koulutettiin kerätyn palautteen perusteella uudestaan luotu myyntimalli, jonka avulla kyettiin osoittamaan tuotteen myyntipotentiaali. Tämän jälkeen pilotin tuotannossa palattiin alkuperäisiin pilottimyymälöihin uudella myyntimallilla. Uuden myyntimallin osoitettua tehonsa myös alkuperäisissä pilottimyymälöissä päätettiin siirtymisestä myynnin skaalausvaiheeseen.
Pilotin avulla testattiin, millainen myyntimalli sopisi uuteen myyntikanavaan, koska Kotimaan Energialla ei ollut omaa osaamista tai ymmärrystä riittävästi, jotta myynti olisi voitu käynnistää heti isossa mittakaavassa kaikissa myymälöissä. Työn tuloksena syntyi toimintamalli, miten pilotoinnin avulla pystytään käynnistämään uusi myyntikanava ketterästi keräämällä palautetta ja tekemällä saadun palautteen perusteella nopeita toimenpiteitä myynnin kehittämiseksi.
Opinnäytetyön jatkokehittämistoimenpiteiksi nostettiin neljä toimenpidettä, jotka olivat laajemman myyjäkunnan aktivoiminen, uuden tuotteen tuominen myyntiin, kodinkonekauppaketjulle luotava bonusmalli myynnistä ja säännölliset kehityspalaverit kodinkoneliikkeen avainhenkilöiden, kuten myymäläpäälliköiden kanssa
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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