Jun 2, 2017 · In this paper, we propose a clustering and incremental sampling (C&IS) approach that trades off accuracy of top-k results for detection speed.
Nov 7, 2017 · In this paper, we propose a clustering and incremental sampling (C&IS) approach that trades off accuracy of top-k results for detection speed.
In this paper, we propose a clustering and incremental sampling (C&IS) approach that trades off accuracy of top-k results for detection speed. It uses ...
A clustering and incremental sampling (C&IS) approach that trades off accuracy of top-k results for detection speed, and leverages spatial metadata, ...
Efficient Detection of Points of Interest from. Georeferenced Visual Content. Ying Lu. ∗. University of Southern California [email protected]. Juan A. Colmenares.
In this paper, we propose a clustering and incremental sampling (C&IS) approach that trades off accuracy of top-k results for detection speed. It uses ...
This paper presents a machine learning-based classifier for detecting points of interest through the combined use of images and text from social networks. This ...
Jun 2, 2017 · In this paper, we have presented an efficient approach to detecting top-k points of interest from geotagged visual content in a user-specified ...
Efficient Detection of Points of Interest from Georeferenced Visual Content. Lu, Ying;Colmenares, Juan A. the 6th ACM SIGSPATIAL Workshop, 06 Nov 2017, ...
To effectively uti- lizes visual contents, we use CNN to extract features from images and use it to guide the learning process of latent user and POI features, ...
Missing: Efficient Georeferenced