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KDD
2008
ACM
239views Data Mining» more  KDD 2008»
16 years 7 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
TIT
2010
153views Education» more  TIT 2010»
15 years 1 months ago
On the information rates of the plenoptic function
The plenoptic function (Adelson and Bergen, 91) describes the visual information available to an observer at any point in space and time. Samples of the plenoptic function (POF) a...
Arthur L. da Cunha, Minh N. Do, Martin Vetterli
180
Voted
ICCV
2005
IEEE
16 years 8 months ago
On-Line Density-Based Appearance Modeling for Object Tracking
Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...
Bohyung Han, Larry S. Davis
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
APPROX
2009
Springer
156views Algorithms» more  APPROX 2009»
16 years 1 months ago
An Analysis of Random-Walk Cuckoo Hashing
In this paper, we provide a polylogarithmic bound that holds with high probability on the insertion time for cuckoo hashing under the random-walk insertion method. Cuckoo hashing ...
Alan M. Frieze, Páll Melsted, Michael Mitze...