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KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 8 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 8 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
CHI
2006
ACM
16 years 8 months ago
Peekaboom: a game for locating objects in images
We introduce Peekaboom, an entertaining web-based game that can help computers locate objects in images. People play the game because of its entertainment value, and as a side eff...
Luis von Ahn, Ruoran Liu, Manuel Blum
HPCA
2005
IEEE
16 years 8 months ago
Transition Phase Classification and Prediction
Most programs are repetitive, where similar behavior can be seen at different execution times. Proposed on-line systems automatically group these similar intervals of execution in...
Jeremy Lau, Stefan Schoenmackers, Brad Calder
HPCA
2002
IEEE
16 years 8 months ago
Quantifying Load Stream Behavior
The increasing performance gap between processors and memory will force future architectures to devote significant resources towards removing and hiding memory latency. The two ma...
Suleyman Sair, Timothy Sherwood, Brad Calder
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