We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
We present an approach for measuring similarity between visual entities (images or videos) based on matching internal self-similarities. What is correlated across images (or acros...
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
There has been considerable interest in similarity join in the research community recently. Similarity join is a fundamental operation in many application areas, such as data inte...
We formulate face alignment as a model-based parameter estimation problem in this paper. First, we work within a framework that combines two separate subspace models to r epresent...