1,721,564 research outputs found
TLS Dataset
No full textPanzner M. TLS Dataset. Bielefeld University; 2016.Dataset of manipulation sequences of a trajector relative to a landmark
Learning linguistic constructions grounded in qualitative action models
Get PDFPanzner M, Gaspers J, Cimiano P. Learning linguistic constructions grounded in qualitative action models. In: IEEE International Symposium on Robot and Human Interactive Communication. 2015
Incremental learning of action models as HMMs over qualitative trajectory representations
Get PDFPanzner M, Cimiano P. Incremental learning of action models as HMMs over qualitative trajectory representations. Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen
A Deep Reinforcement Learning Based Model Supporting Object Familiarization
Get PDFPanzner M, Cimiano P. A Deep Reinforcement Learning Based Model Supporting Object Familiarization. Presented at the International Conference on Development and Learning and on Epigenetic Robotics, Instituto Superior Tecnico (IST), Lisbon, Portugal
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Online Klassifikation menschlicher Aktionen anhand von Space-Time Interest-Points
Get PDFPanzner M. Online Klassifikation menschlicher Aktionen anhand von Space-Time Interest-Points. Bielefeld: Universität Bielefeld; 2013.Human motion classification is an important area of computer vision with a variety of applications in surveillance, human-computer interfaces and robotics. Many current systems for human motion classification rely on a batch processing scheme to learn their classification model. This excludes these systems from many possible applications where fast response to new classes of stimuli is necessary. This thesis will present two approaches for incremental online classification of human motion, which will allow the system to adapt to new situations on the fly, without the need to go through the whole batch learning process again. The developed algorithms are tested against a current state of the art offline classification system, which already has shown good results on several human motion databases. It will be shown, that the developed online classification systems can archive competitive results while avoiding several limitations of the offline approaches
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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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