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» Intelligent Pattern Recognition and Applications
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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 3 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
118
Voted
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 3 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
93
Voted
CHI
2007
ACM
16 years 3 months ago
A gestural input through finger writing on a textured pad
We describe a new input method that utilizes patterned vibration that is generated through the finger writing on a textured pad. Using a flexible or a foldable textured pad which ...
Ji-Eun Kim, John Sunwoo, Yong-Ki Son, Dong-Woo Lee...
125
Voted
CVPR
2010
IEEE
15 years 11 months ago
Unified Graph Matching in Euclidean Spaces
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
Julian McAuley, Teofilo de Campos, Tiberio Caetano
111
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WWW
2010
ACM
15 years 10 months ago
Web-scale k-means clustering
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
D. Sculley