Studying natural language, and especially how people describe the world around them can
help us better understand the visual world. In turn, it can also help us in the quest to …

We present the largest database for visual kinship recognition, Families In the Wild (FIW),
with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a …

Popularity prediction for the growing social images has opened unprecedented
opportunities for wide commercial applications, such as precision advertising and …

Automatic image annotation methods are extremely beneficial for image search, retrieval,
and organization systems. The lack of strict correlation between semantic concepts and …

In this paper, we propose a novel supervised nonnegative matrix factorization-based
framework for both image classification and annotation. The framework consists of two …

The contextual information of Web images is investigated to address the issue of
characterizing their content with semantic descriptors and therefore bridge the semantic gap …

Abstract Systems and methods are provided for measuring a user's English language
proficiency. A constructed response generated by a user is received, the constructed …

With the rapidly expanding catalogue of scientific publications, especially within the
Biomedical Sciences field, it is becoming increasingly difficult for researchers to search for …

This paper describes several experiments in building a sentiment analysis classifier for
spoken reviews. We specifically focus on the linguistic component of these reviews, with the …

Measures of similarity have traditionally focused on computing the semantic relatedness
between pairs of words and texts. In this paper, we construct an evaluation framework to …