We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
This paper presents a family of programming projects appropriate to a sophomore-level data structures course, centered around the concept of a buffer pool serving as the access i...
Operator-based programming languages provide an effective development model for large scale stream processing applications. A stream processing application consists of many runtim...
Xiaolan J. Zhang, Sujay Parekh, Bugra Gedik, Henri...
This paper presents a method of image processing used in a mono-vision system in order to study semiotic gestures. We present a robust method to track the hands and face of a perso...