—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
: Gaze Awareness and Interaction Support in Presentations Kar-Han Tan, Dan Gelb, Ramin Samadani, Ian Robinson, Bruce Culbertson, John Apostolopoulos HP Laboratories HPL-2010-187 D...
Kar-Han Tan, Dan Gelb, Ramin Samadani, Ian N. Robi...
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray