Semantic similarity has attracted great concern for a long time in artificial intelligence,
psychology and cognitive science. In recent years the measures based on WordNet have …

Semantic similarity between words is becoming a generic problem for many applications of
computational linguistics and artificial intelligence. This paper explores the determination of …

There are currently two dominant interface types for searching and browsing large image
collections: keyword-based search, and searching by overall similarity to sample images …

The adoption of electronic health records (EHRs) has enabled a wide range of applications
leveraging EHR data. However, the meaningful use of EHR data largely depends on our …

In many areas of commerce, government, academia, and hospitals, large collections of
digital images are being created. Many of these collections are the product of digitizing …

The Knowledge Grid is an intelligent and sustainable interaction environment that consists
of autonomous individuals, self-organized semantic communities, adaptive networking …

This paper presents a new method for detecting and recognizing text in complex images and
video frames. Text detection is performed in a two-step approach that combines the speed of …

Keyword-based image search engines are hindered by the lack of proper labeling for
images in their indices. In many cases the labels do not agree with the contents of the image …

MiAlbum©(v1. 0) is a system developed at Microsoft Research China for managing family
photos with the help of a semi-automatic image annotation approach. It provides …

We propose using one-class, two-class, and multiclass SVMs to annotate images for
supporting keyword retrieval of images. Providing automatic annotation requires an accurate …