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PAMI
2008
182views more  PAMI 2008»
13 years 8 months ago
Gaussian Process Dynamical Models for Human Motion
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...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ATAL
2007
Springer
14 years 3 months ago
A framework for agent-based distributed machine learning and data mining
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 ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
SIGCSE
2004
ACM
188views Education» more  SIGCSE 2004»
14 years 2 months ago
Buffer pools and file processing projects for an undergraduate data structures course
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...
Clifford A. Shaffer
DEBS
2010
ACM
13 years 12 months ago
Workload characterization for operator-based distributed stream processing applications
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...
GW
2007
Springer
199views Biometrics» more  GW 2007»
14 years 3 months ago
Robust Tracking for Processing of Videos of Communication's Gestures
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...
Frédérick Gianni, Christophe Collet,...