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DKE
2008
79views more  DKE 2008»
13 years 7 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
BMVC
2001
13 years 10 months ago
Deformable Spatio-Temporal Shape Models: Extending ASM to 2D+Time
This paper extends 2D Active Shape Models to 2D+time by presenting a method for modelling and segmenting spatio-temporal shapes (ST-shapes). The modelling part consists of constru...
Ghassan Hamarneh, Tomas Gustavsson
EMNLP
2011
12 years 7 months ago
Approximate Scalable Bounded Space Sketch for Large Data NLP
We exploit sketch techniques, especially the Count-Min sketch, a memory, and time efficient framework which approximates the frequency of a word pair in the corpus without explic...
Amit Goyal, Hal Daumé III
PKDD
2001
Springer
185views Data Mining» more  PKDD 2001»
14 years 3 days ago
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Rie Honda, Osamu Konishi
SIGMOD
2005
ACM
194views Database» more  SIGMOD 2005»
14 years 1 months ago
STRG-Index: Spatio-Temporal Region Graph Indexing for Large Video Databases
In this paper, we propose new graph-based data structure and indexing to organize and retrieve video data. Several researches have shown that a graph can be a better candidate for...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang