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» Learning to generalize for complex selection tasks
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ICML
2007
IEEE
14 years 8 months ago
Classifying matrices with a spectral regularization
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
Ryota Tomioka, Kazuyuki Aihara
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
IUI
2004
ACM
14 years 1 months ago
Sheepdog: learning procedures for technical support
Technical support procedures are typically very complex. Users often have trouble following printed instructions describing how to perform these procedures, and these instructions...
Tessa A. Lau, Lawrence D. Bergman, Vittorio Castel...
INFOVIS
1997
IEEE
13 years 12 months ago
A spreadsheet approach to information visualization
In information visualization, as the volume and complexity of the data increases, researchers require more powerful visualization tools that enable them to more effectively explor...
Ed Huai-hsin Chi, Phillip Barry, John Riedl, Josep...
ECCV
2008
Springer
14 years 9 months ago
Feature Correspondence Via Graph Matching: Models and Global Optimization
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
Lorenzo Torresani, Vladimir Kolmogorov, Carsten Ro...