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EPIA
2003
Springer
15 years 10 months ago
Mining Low Dimensionality Data Streams of Continuous Attributes
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
SODA
2010
ACM
177views Algorithms» more  SODA 2010»
16 years 2 months ago
On the Exact Space Complexity of Sketching and Streaming Small Norms
We settle the 1-pass space complexity of (1 ? )approximating the Lp norm, for real p with 1 p 2, of a length-n vector updated in a length-m stream with updates to its coordinate...
Daniel M. Kane, Jelani Nelson, David P. Woodruff
NOSSDAV
2009
Springer
15 years 11 months ago
SLIPstream: scalable low-latency interactive perception on streaming data
A critical problem in implementing interactive perception applications is the considerable computational cost of current computer vision and machine learning algorithms, which typ...
Padmanabhan Pillai, Lily B. Mummert, Steven W. Sch...
SAC
2005
ACM
15 years 10 months ago
Quality-driven evaluation of trigger conditions on streaming time series
For many applications, it is important to evaluate trigger conditions on time series streams. In a resource constrained environment, users’ needs should ultimately decide how th...
Like Gao, Min Wang, Xiaoyang Sean Wang
158
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CVPR
2003
IEEE
15 years 10 months ago
Dynamic Depth Recovery from Unsynchronized Video Streams
In this paper, we propose an algorithm for estimating dense depth information of dynamic scenes from multiple video streams captured using unsynchronized stationary cameras. We so...
Chunxiao Zhou, Hai Tao