134 search results - page 4 / 27 » Sliding-Window Filtering: An Efficient Algorithm for Increme... |
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
We define multi-scale moments that are estimated locally by analyzing the image through a sliding window at multiple scales. When the analysis window satisfies a two-scale relatio...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
IS
2008
13 years 7 months ago
2008
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
SIGMOD
2005
ACM
14 years 7 months ago
2005
ACM
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
RECSYS
2010
ACM
13 years 7 months ago
2010
ACM
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...