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ICIP
2009
IEEE
15 years 4 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
IFE
2010
87views more  IFE 2010»
15 years 4 months ago
A middleware for efficient stream processing in CUDA
This paper presents a middleware capable of out-of-order execution of kernels and data transfers for efficient stream processing in the compute unified device architecture (CUDA). ...
Shinta Nakagawa, Fumihiko Ino, Kenichi Hagihara
ICCV
2009
IEEE
16 years 11 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen
CVPR
2008
IEEE
16 years 8 months ago
Human action recognition using Local Spatio-Temporal Discriminant Embedding
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
Kui Jia, Dit-Yan Yeung
ECCV
2004
Springer
16 years 8 months ago
An Accuracy Certified Augmented Reality System for Therapy Guidance
Our purpose is to provide an augmented reality system for Radio-Frequency guidance that could superimpose a 3D model of the liver, its vessels and tumors (reconstructed from CT ima...
Stéphane Nicolau, Xavier Pennec, Luc Soler,...