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» Estimating Missing Data in Data Streams
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ISCA
2000
IEEE
111views Hardware» more  ISCA 2000»
14 years 2 months ago
Understanding the backward slices of performance degrading instructions
For many applications, branch mispredictions and cache misses limit a processor’s performance to a level well below its peak instruction throughput. A small fraction of static i...
Craig B. Zilles, Gurindar S. Sohi
GIS
2010
ACM
13 years 7 months ago
Spatiotemporal summarization of traffic data streams
With resource-efficient summarization and accurate reconstruction of the historic traffic sensor data, one can effectively manage and optimize transportation systems (e.g., road n...
Bei Pan, Ugur Demiryurek, Farnoush Banaei Kashani,...
CN
2008
110views more  CN 2008»
13 years 10 months ago
The eternal sunshine of the sketch data structure
In the past years there has been significant research on developing compact data structures for summarizing large data streams. A family of such data structures is the so-called s...
Xenofontas A. Dimitropoulos, Marc Ph. Stoecklin, P...
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 11 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
ICIP
2002
IEEE
14 years 11 months ago
3D structure from video streams with partially overlapping images
The majority of methods available to recover 3D structure from video assume that a set of feature points are tracked across a large number of frames. This is not always possible i...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar