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KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 7 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
ACCV
2009
Springer
16 years 1 months ago
Visual Saliency Based Object Tracking
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...
Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong S...
MM
2009
ACM
197views Multimedia» more  MM 2009»
16 years 1 months ago
Visual summaries of popular landmarks from community photo collections
We present a novel data-driven algorithm that leverages online image repositories such as Flickr for automatically generating tourist maps. Our hypothesis is that, given a large e...
Wei-Chao Chen, Agathe Battestini, Natasha Gelfand,...
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
16 years 28 days ago
Learning humanoid reaching tasks in dynamic environments
— A central challenging problem in humanoid robotics is to plan and execute dynamic tasks in dynamic environments. Given that the environment is known, sampling-based online moti...
Xiaoxi Jiang, Marcelo Kallmann
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
16 years 6 days ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata