1,640,465 research outputs found
Using DDC to create a visual knowledge map as an aid to online information retrieval
Selection of search terms in an online search environment can be facilitated by the visual display of a knowledge map showing the various concepts and their links. This paper reports on a preliminary research aimed at designing a prototype knowledge map using DDC and its visual display. The prototype knowledge map created using the ProtĂŚ#169;gĂŚ#169; and TGViz freeware has been demonstrated, and further areas of research in this field are discussed
Revisiting knowledge transfer for training object class detectors
We propose to revisit knowledge transfer for training object detectors on
target classes from weakly supervised training images, helped by a set of
source classes with bounding-box annotations. We present a unified knowledge
transfer framework based on training a single neural network multi-class object
detector over all source classes, organized in a semantic hierarchy. This
generates proposals with scores at multiple levels in the hierarchy, which we
use to explore knowledge transfer over a broad range of generality, ranging
from class-specific (bicycle to motorbike) to class-generic (objectness to any
class). Experiments on the 200 object classes in the ILSVRC 2013 detection
dataset show that our technique: (1) leads to much better performance on the
target classes (70.3% CorLoc, 36.9% mAP) than a weakly supervised baseline
which uses manually engineered objectness [11] (50.5% CorLoc, 25.4% mAP). (2)
delivers target object detectors reaching 80% of the mAP of their fully
supervised counterparts. (3) outperforms the best reported transfer learning
results on this dataset (+41% CorLoc and +3% mAP over [18, 46], +16.2% mAP over
[32]). Moreover, we also carry out several across-dataset knowledge transfer
experiments [27, 24, 35] and find that (4) our technique outperforms the weakly
supervised baseline in all dataset pairs by 1.5x-1.9x, establishing its general
applicability.Comment: CVPR 1
Dynamic literature mapping : typography in screen-based media
This paper chronicles the development of a visual map representing a literature search on key theorists and thinkers in two principal topics: Typography and New Media. Its aim is to visualise and facilitate conceptual connections between key ideas and philosophies across disciplines. This literature map was drawn up by reviewing available influential literature within these topics. Related categories were later added and a further series of literature searches were conducted to build references in each topic. This on-going cyclical process serves to construct a comprehensive contextual map of knowledge. The benefit of the map is twofold. Primarily, aiding the researcher to navigate and understand complex layers of information. Secondly, allowing the researcher to present and share representations of knowledge. The clarity of the representation is crucial in eliciting the participation of fellow design researchers and practitioners to the development and growth of the literature map
Map-Aware Models for Indoor Wireless Localization Systems: An Experimental Study
The accuracy of indoor wireless localization systems can be substantially
enhanced by map-awareness, i.e., by the knowledge of the map of the environment
in which localization signals are acquired. In fact, this knowledge can be
exploited to cancel out, at least to some extent, the signal degradation due to
propagation through physical obstructions, i.e., to the so called
non-line-of-sight bias. This result can be achieved by developing novel
localization techniques that rely on proper map-aware statistical modelling of
the measurements they process. In this manuscript a unified statistical model
for the measurements acquired in map-aware localization systems based on
time-of-arrival and received signal strength techniques is developed and its
experimental validation is illustrated. Finally, the accuracy of the proposed
map-aware model is assessed and compared with that offered by its map-unaware
counterparts. Our numerical results show that, when the quality of acquired
measurements is poor, map-aware modelling can enhance localization accuracy by
up to 110% in certain scenarios.Comment: 13 pages, 11 figures, 1 table. IEEE Transactions on Wireless
Communications, 201
Willem Blaeu\u27s \u27Asia noviter delineata\u27: Expressions of Power through Naval Might and Natural Knowledge in Dutch Mapmaking
This paper situates Dutch mapmaker Willem Blaeuâs Asia noviter delineataâpart of the Stuckenberg Map Collection in the Gettysburg College Special Collectionsâwithin the larger framework of Renaissance thought and a shifting colonial balance of power. The mapâs pictorial marginalia expresses a Dutch quest for empirical knowledge that echoed contemporary cabinets of curiosities throughout early modern Europe. Similar to these cabinets, Blaeuâs map can be seen as a cartographic teatro mundi, used to propagate Dutch hegemony through both a robust naval presence and an expanding geographic and natural knowledge of the world
The Effects of Finger-Walking in Place (FWIP) on Spatial Knowledge Acquisition in Virtual Environments
Spatial knowledge, necessary for efficient navigation, comprises route knowledge (memory of landmarks along a route) and survey knowledge (overall representation like a map). Virtual environments (VEs) have been suggested as a power tool for understanding some issues associated with human navigation, such as spatial knowledge acquisition. The Finger-Walking-in-Place (FWIP) interaction technique is a locomotion technique for navigation tasks in immersive virtual environments (IVEs). The FWIP was designed to map a humanâs embodied ability overlearned by natural walking for navigation, to finger-based interaction technique. Its implementation on Lemur and iPhone/iPod Touch devices was evaluated in our previous studies. In this paper, we present a comparative study of the joystickâs flying technique versus the FWIP. Our experiment results show that the FWIP results in better performance than the joystickâs flying for route knowledge acquisition in our maze navigation tasks
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