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» Experiments with a New Boosting Algorithm
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147
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ICANN
2005
Springer
15 years 9 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
124
Voted
ICCV
2007
IEEE
16 years 5 months ago
Fast Pixel/Part Selection with Sparse Eigenvectors
We extend the "Sparse LDA" algorithm of [7] with new sparsity bounds on 2-class separability and efficient partitioned matrix inverse techniques leading to 1000-fold spe...
Bernard Moghaddam, Yair Weiss, Shai Avidan
156
Voted
WWW
2008
ACM
16 years 4 months ago
First workshop on targeting and ranking for online advertising
Online advertising is a rapidly growing, multi-billion dollar industry. It has become a significant element of the Web browsing experience. Ad platforms used for ad selection use ...
Ewa Dominowska, Vanja Josifovski
143
Voted
BROADNETS
2006
IEEE
15 years 9 months ago
Sensor Localization and Camera Calibration in Distributed Camera Sensor Networks
— Camera sensors constitute an information rich sensing modality with many potential applications in sensor networks. Their effectiveness in a sensor network setting however grea...
Andrew Barton-Sweeney, Dimitrios Lymberopoulos, An...
108
Voted
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 9 months ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...