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» Sketching probabilistic data streams
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ANCS
2009
ACM
13 years 5 months ago
Design and performance analysis of a DRAM-based statistics counter array architecture
The problem of maintaining efficiently a large number (say millions) of statistics counters that need to be updated at very high speeds (e.g. 40 Gb/s) has received considerable re...
Haiquan (Chuck) Zhao, Hao Wang, Bill Lin, Jun (Jim...
CVPR
2009
IEEE
15 years 2 months ago
Co-training with Noisy Perceptual Observations
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
14 years 7 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
TKDE
2008
146views more  TKDE 2008»
13 years 7 months ago
Toward Managing Uncertain Spatial Information for Situational Awareness Applications
Situational awareness (SA) applications monitor the real world and the entities therein to support tasks such as rapid decision making, reasoning, and analysis. Raw input about unf...
Yiming Ma, Dmitri V. Kalashnikov, Sharad Mehrotra
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 7 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner