A study on detecting drones using deep convolutional neural networks
The object detection is a challenging problem in computer vision with various potential real-
world applications. The objective of this study is to evaluate the deep learning based object …
world applications. The objective of this study is to evaluate the deep learning based object …
Crowdsourcing a collective sense of place
Place can be generally defined as a location that has been assigned meaning through
human experience, and as such it is of multidisciplinary scientific interest. Up to this point …
human experience, and as such it is of multidisciplinary scientific interest. Up to this point …
A linguistic approach to categorical color assignment for data visualization
When data categories have strong color associations, it is useful to use these semantically
meaningful concept-color associations in data visualizations. In this paper, we explore how …
meaningful concept-color associations in data visualizations. In this paper, we explore how …
Distributional semantic models for affective text analysis
We present an affective text analysis model that can directly estimate and combine affective
ratings of multi-word terms, with application to the problem of sentence polarity/semantic …
ratings of multi-word terms, with application to the problem of sentence polarity/semantic …
Personalized recommendation based on hierarchical interest overlap** community
J Zheng, S Wang, D Li, B Zhang - Information Sciences, 2019 - Elsevier
Ontology user profiles describe users' structural semantic interests. Studying similar
relationships between user profiles is crucial to detecting interest overlap** communities …
relationships between user profiles is crucial to detecting interest overlap** communities …
Machine learning of syntactic parse trees for search and classification of text
B Galitsky - Engineering Applications of Artificial Intelligence, 2013 - Elsevier
We build an open-source toolkit which implements deterministic learning to support search
and text classification tasks. We extend the mechanism of logical generalization towards …
and text classification tasks. We extend the mechanism of logical generalization towards …
[PDF][PDF] A survey on semantic similarity measure
SA Elavarasi, J Akilandeswari, K Menaga - International Journal of …, 2014 - Citeseer
Measuring semantic similarity between concepts is an important problem in web mining and
text mining which needs semantic content matching. Semantic similarity has attracted great …
text mining which needs semantic content matching. Semantic similarity has attracted great …
Inferring the semantic properties of sentences by mining syntactic parse trees
We extend the mechanism of logical generalization toward syntactic parse trees and attempt
to detect semantic signals unobservable in the level of keywords. Generalization from a …
to detect semantic signals unobservable in the level of keywords. Generalization from a …