In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
An important part of many programming tasks is the use of libraries and other forms of Application Programming Interfaces (APIs). Programming via web services using a Service-Orie...
Jack Beaton, Sae Young Jeong, Yingyu Xie, Jeffrey ...
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
In this paper, we introduce a novel context sensitive system design paradigm. Multiple sensors/ computational architecture, in the form of our eWatch device, is used to infer the ...
Asim Smailagic, Daniel P. Siewiorek, Uwe Maurer, A...