1,565 research outputs found
Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search
Mobile landmark search (MLS) recently receives increasing attention for its
great practical values. However, it still remains unsolved due to two important
challenges. One is high bandwidth consumption of query transmission, and the
other is the huge visual variations of query images sent from mobile devices.
In this paper, we propose a novel hashing scheme, named as canonical view based
discrete multi-modal hashing (CV-DMH), to handle these problems via a novel
three-stage learning procedure. First, a submodular function is designed to
measure visual representativeness and redundancy of a view set. With it,
canonical views, which capture key visual appearances of landmark with limited
redundancy, are efficiently discovered with an iterative mining strategy.
Second, multi-modal sparse coding is applied to transform visual features from
multiple modalities into an intermediate representation. It can robustly and
adaptively characterize visual contents of varied landmark images with certain
canonical views. Finally, compact binary codes are learned on intermediate
representation within a tailored discrete binary embedding model which
preserves visual relations of images measured with canonical views and removes
the involved noises. In this part, we develop a new augmented Lagrangian
multiplier (ALM) based optimization method to directly solve the discrete
binary codes. We can not only explicitly deal with the discrete constraint, but
also consider the bit-uncorrelated constraint and balance constraint together.
Experiments on real world landmark datasets demonstrate the superior
performance of CV-DMH over several state-of-the-art methods
The Cognitive Processes of Image Schema in Sino-American Economic News on The Belt and Road
This contrastive study decodes the language applications employed in news reports through image schematization to reproduce the ācognitive mapā of news writers in their ways of perceiving the world and exerting influence on news readersā ways of perception. By analysing American economic news (AEN) and Chinese economic news (CEN) on the issue of āThe Belt and Roadā (B&R) from the perspective of cognitive linguistics, the authors uncover and sketch out the hidden epistemic cognitive patterns and processes of both the Chinese and American writers. The study demonstrates that the schematic images and their constructions are organized in the mind of an individual as a network, with both metaphorical and formulaic schemas at different schematic levels, presenting a different process of cognitive entrenchment through which, in news discourses, image schema is utilized as a projection lens, projecting the covert cognitive processes onto overt language use and function
Current Discourse Space in Sino-American Economic News on āThe Belt and Roadā
To unveil the covert relation between cognitive perceptions and language use, and to probe into the cognitive mechanism revealed by news discourses, the authors set out to analyze the economic news semantically and textually, in an attempt to grasp a preliminary picture of different cognitive patterns of the Chinese and Americans on āThe Belt and Roadā (B&R), drawing insights on how people from different cultural backgrounds interpret B&R and its promotion, based on the current discourse space (CDS) analysis. The findings show that the variation of CDS frame applied in both Chinese and American news reports exists in dynamic linguistic representations, which sheds light on the substantial roles that mass media plays in affecting news readersā perceiving manners or cognitive patterns. The authors emphatically claim that the promotion of B&R still has a long way to go until it reaches the highland of positive and objective social cognitive perceptions embedded in people from various backgrounds. This research provides evidences to identify interdependencies between particular CDS models that allow inferences about the CDS frames of a certain situation evoked by the news agencies and their discourse writers from different cultural backgrounds and from different political stances
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