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» Collaborative Hierarchical Sparse Modeling
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SIGIR
2004
ACM
14 years 2 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
IJON
2006
189views more  IJON 2006»
13 years 9 months ago
Storing and restoring visual input with collaborative rank coding and associative memory
Associative memory in cortical circuits has been held as a major mechanism for content-addressable memory. Hebbian synapses implement associative memory efficiently when storing s...
Martin Rehn, Friedrich T. Sommer
CSCW
1998
ACM
14 years 1 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
ICCS
2009
Springer
14 years 3 months ago
Evaluation of Hierarchical Mesh Reorderings
Irregular and sparse scientific computing programs frequently experience performance losses due to inefficient use of the memory system in most machines. Previous work has shown t...
Michelle Mills Strout, Nissa Osheim, Dave Rostron,...
MIR
2010
ACM
229views Multimedia» more  MIR 2010»
14 years 3 months ago
Wavelet, active basis, and shape script: a tour in the sparse land
Sparse coding is a key principle that underlies wavelet representation of natural images. In this paper, we explain that the effort of seeking a common wavelet sparse coding of i...
Zhangzhang Si, Ying Nian Wu