1,355,034 research outputs found
Philosophica de anima sentiente atque intelligente disputatio : in celebri Academia Dilingana X. Mai, D.M.XCIV. habita
No full textpraeside P. Jacobo Frey ... ; respondentibus ... F. Gotfrido Munding, ... F. Bartholomaeo Ehinger ...Titelbordüre, TitelholzschnittBogensignaturen: A-B⁴, C²Diss, Univ. Dillingen, 159
Kometen-Historia das ist Kurze Beschreibung der fürnembsten Cometen so von der Regierung an dess Römischen Kaysers Augusti und der gnadenreichen Geburt unsers Herrn und Heylands Jesu Christi innerhalb 1618 Jahren sein gesehen worden
No full textauss den Historicis kurtz und summarischer weiss zusamen getragen unnd verteutscht von M. Elia Ehinger ...A-F
Ulrich (Enrique) Ehinger, agente de los Wesler en Valladolid. Entre Europa y América
No full textUlrich Ehinger, known in Spain as Enrique Ehinger, died in Valladolid in 1537. Agent of the Welser,
he participated in the conquest and exploitation of Venezuela. At his death, he left an interesting set of
goods, including various American objects. He was buried in the convent of San Francisco. This article
reviews and specifies some aspects of this character and his relationship with the city of Valladolid.Ulrich Ehinger, conocido en España como Enrique Ehinger, falleció en Valladolid en 1537. Agente
de los Welser, participó en la conquista y explotación de Venezuela. A su fallecimiento dejó un interesante
conjunto de bienes, incluyendo diversos objetos americanos. Fue enterrado en el convento
de San Francisco. En este artículo se repasan y precisan algunos aspectos sobre este personaje y
su relación con la ciudad de Valladolid
Cdc42 and phosphoinositide 3-kinase drive Rac-mediated actin polymerization downstream of c-Met in distinct and common pathways
No full textBosse T, Ehinger J, Czuchra A, et al. Cdc42 and phosphoinositide 3-kinase drive Rac-mediated actin polymerization downstream of c-Met in distinct and common pathways. Mol Cell Biol. 2007;27(19):6615-6628
Category systems for real-world scenes
No full textCategorization performance is a popular metric of scene recognition and understanding in behavioral and computational research. However, categorical constructs and their labels can be somewhat arbitrary. Derived from exhaustive vocabularies of place names (e.g., Deng et al., 2009), or the judgements of small groups of researchers (e.g., Fei-Fei, Iyer, Koch,&Perona, 2007), these categories may not correspond with human-preferred taxonomies. Here, we propose clustering by increasing the rand index via coordinate ascent (CIRCA): an unsupervised, data-driven clustering method for deriving ground-truth scene categories. In Experiment 1, human participants organized 80 stereoscopic images of outdoor scenes from the Southampton-York Natural Scenes (SYNS) dataset (Adams et al., 2016) into discrete categories. In separate tasks, images were grouped according to i) semantic content, ii) three-dimensional spatial structure, or iii) two-dimensional image appearance. Participants provided text labels for each group. Using the CIRCA method, we determined the most representative category structure and then derived category labels for each task/dimension. In Experiment 2, we found that these categories generalized well to a larger set of SYNS images, and new observers. In Experiment 3, we tested the relationship between our category systems and the spatial envelope model (Oliva&Torralba, 2001). Finally, in Experiment 4, we validated CIRCA on a larger, independent dataset of same-different category judgements. The derived category systems outperformed the SUN taxonomy (Xiao, Hays, Ehinger, Oliva,&Torralba, 2010) and an alternative clustering method (Greene, 2019). In summary, we believe this novel categorization method can be applied to a wide range of datasets to derive optimal categorical groupings and labels from psychophysical judgements of stimulus similarity.</p
Canonical views of scenes depend on the shape of the space
No full textWhen recognizing or depicting objects, people show a preference for particular “canonical” views. Are there
similar preferences for particular views of scenes? We investigated this question using panoramic images, which
show a 360-degree view of a location. Observers used an interactive viewer to explore the scene and select the best view. We found that agreement between observers on the “best” view of each scene was generally high. We attempted to predict the selected views using a model based on the shape of the space around the camera location and on the navigational constraints of the scene. The model performance suggests that observers select views which capture as much of the surrounding space as possible, but do not consider navigational constraints when selecting views. These results seem analogous to findings with objects, which suggest that canonical views maximize the visible surfaces of an object, but are not necessarily functional views.National Science Foundation (U.S.) (NSF Career award (0546262))National Science Foundation (U.S.) (Grant 0705677)National Institutes of Health (U.S.) (Grant 1016862)National Eye Institute (grant EY02484)National Science Foundation (U.S.) (NSF Graduate Research Fellowship
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Naturalization Records of Petitioner Arthur Albert Stading
No full textNaturalization records to become a citizen of the United States, as filled out and signed by: Arthur Albert Stading
City of residence at time of petition: Atlantic City, NJ
Occupation: Barber
Country of origin: Germany
Name of spouse: Caroline Helen Stading
Name of witness: John Tallman
Name of second witness: Edward Ehinger
Date petition filed: 15 January 190
- …
