Nowadays, more and more images are available. However, to find a required image for an
ordinary user is a challenging task. Large amount of researches on image retrieval have …

Web 2.0 technologies have brought new ways of connecting people in social networks for
collaboration in various on-line communities. Social Computing is a novel and emerging …

Detecting events from web resources has attracted increasing research interests in recent
years. Our focus in this paper is to detect events from photos on Flickr, an Internet image …

In this paper, we present a multi-label sparse coding framework for feature extraction and
classification within the context of automatic image annotation. First, each image is encoded …

With the exponential growth of Web 2.0 applications, tags have been used extensively to
describe the image contents on the Web. Due to the noisy and sparse nature in the human …

Automatic image annotation (AIA) plays a vital role in dealing with the exponentially growing
digital images. Image annotation helps in effective retrieval, organization, classification, auto …

With the proliferation of social network services, more and more social users, such as
individuals and organizations, are simultaneously involved in multiple social networks for …

Abstract Background Maize (Zea mays ssp. mays L.) is the most widely grown and yield crop
in the world, as well as an important model organism for fundamental research of the …

Data owners have the right to request for deleting their data from a machine learning (ML)
model. In response, a naïve way is to retrain the model with the original dataset excluding …

In this paper, we investigate a search-based face annotation framework by mining weakly
labeled facial images that are freely available on the internet. A key component of such a …