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ICAI
2004
14 years 11 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
MM
2010
ACM
170views Multimedia» more  MM 2010»
14 years 10 months ago
Training data collection system for a learning-based photographic aesthetic quality inference engine
We present a novel data collection system deployed for the ACQUINE - Aesthetic Quality Inference Engine. The goal of the system is to collect online user opinions, both structured...
Razvan Orendovici, James Ze Wang
SIGCOMM
2010
ACM
14 years 10 months ago
California fault lines: understanding the causes and impact of network failures
Of the major factors affecting end-to-end service availability, network component failure is perhaps the least well understood. How often do failures occur, how long do they last,...
Daniel Turner, Kirill Levchenko, Alex C. Snoeren, ...
CORR
2010
Springer
139views Education» more  CORR 2010»
14 years 9 months ago
Fast Overlapping Group Lasso
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
Jun Liu, Jieping Ye
CORR
2008
Springer
83views Education» more  CORR 2008»
14 years 9 months ago
Resource Allocation in Multiple Access Channels
We consider the problem of rate allocation in a Gaussian multiple-access channel, with the goal of maximizing a utility function over transmission rates. In contrast to the literat...
Ali ParandehGheibi, Atilla Eryilmaz, Asuman E. Ozd...