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» Streaming Algorithms for Data in Motion
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ICDT
2009
ACM
148views Database» more  ICDT 2009»
14 years 8 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha
STACS
2009
Springer
14 years 11 days ago
Lower Bounds for Multi-Pass Processing of Multiple Data Streams
ABSTRACT. This paper gives a brief overview of computation models for data stream processing, and it introduces a new model for multi-pass processing of multiple streams, the so-ca...
Nicole Schweikardt
IJCV
2000
161views more  IJCV 2000»
13 years 7 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
14 years 8 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...
IDEAS
2005
IEEE
72views Database» more  IDEAS 2005»
14 years 1 months ago
Differencing Data Streams
We present external-memory algorithms for differencing large hierarchical datasets. Our methods are especially suited to streaming data with bounded differences. For input sizes m...
Sudarshan S. Chawathe