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DKE
2008
79views more  DKE 2008»
15 years 6 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
15 years 8 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
14 years 5 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»
15 years 10 months 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»
15 years 11 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