Similarity measurement is a critical component in content-based image retrieval systems,
and learning a good distance metric can significantly improve retrieval performance …

Personalized recommendation systems are used in a wide variety of applications such as
electronic commerce, social networks, web search, and more. Collaborative filtering …

In our previous comprehensive survey [41], we have categorized the disparate issues in
distance metric learning. Within each of the four categories, we have summarized existing …

A new methodology based on language models retrieves product features and opinions
from a collection of free-text customer reviews about a product or service. The proposal …

Quantitative notions of diversity have been explored across a variety of disciplines ranging
from conservation biology to economics. However, there has been relatively little work on …

Sentiment analysis predicts the presence of positive or negative emotions in a text
document. In this paper we consider higher dimensional extensions of the sentiment …

Text documents are complex high dimensional objects. To effectively visualize such data it is
important to reduce its dimensionality and visualize the low dimensional embedding as a 2 …

We present an object recognition approach using co-occurrence similarities of Gabor
magnitude textures in this paper. A novel image descriptor, multichannel Gabor magnitude …

We present a flexible new optimization framework for finding effective, reliable pseudo-
relevance feedback models that unifies existing complementary approaches in a principled …

Abstract Information retrieval algorithms attempt to match a user's description of their
information need with relevant information in a collection of documents or other data …