Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
The class of k Nearest Neighbor (kNN) queries is frequently used in geospatial applications. Many studies focus on processing kNN in Euclidean and road network spaces. Meanwhile, ...
A number of techniques for generating geometric models of human head and body are in use nowadays. Models of human characters are useful in computer games, virtual reality, and ma...
Roberto C. Cavalcante Vieira, Creto Augusto Vidal,...
We study a problem of quick detection of top-k Personalized PageRank lists. This problem has a number of important applications such as finding local cuts in large graphs, estima...
Konstantin Avrachenkov, Nelly Litvak, Danil Nemiro...
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor