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» User Adaptive Clustering for Large Image Databases
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CCGRID
2010
IEEE
15 years 3 months ago
The Effects of Untruthful Bids on User Utilities and Stability in Computing Markets
Markets of computing resources typically consist of a cluster (or a multi-cluster) and jobs that arrive over time and request computing resources in exchange for payment. In this p...
Sergei Shudler, Lior Amar, Amnon Barak, Ahuva Mu'a...
WWW
2008
ACM
16 years 2 months ago
Topigraphy: visualization for large-scale tag clouds
This paper proposes a new method for displaying large-scale tag clouds. We use a topographical image that helps users to grasp the relationship among tags intuitively as a backgro...
Ko Fujimura, Shigeru Fujimura, Tatsushi Matsubayas...
CORR
2010
Springer
208views Education» more  CORR 2010»
15 years 2 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani
VLDB
1994
ACM
101views Database» more  VLDB 1994»
15 years 6 months ago
Memory-Contention Responsive Hash Joins
In order to maximize systemperformancein environments with fluctuating memory contention, memory-intensive algorithms such as hash join must gracefully adapt to variations in avai...
Diane L. Davison, Goetz Graefe
NPL
2006
172views more  NPL 2006»
15 years 1 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou