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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 3 days ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
13 years 11 months ago
Non-redundant Multi-view Clustering via Orthogonalization
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
WACV
2005
IEEE
13 years 11 months ago
Epipolar Constraints for Vision-Aided Inertial Navigation
— This paper describes a new method to improve inertial navigation using feature-based constraints from one or more video cameras. The proposed method lengthens the period of tim...
David D. Diel, Paul DeBitetto, Seth J. Teller
MLDM
2005
Springer
13 years 10 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
ACMDIS
2004
ACM
13 years 10 months ago
Making tea: iterative design through analogy
The success of translating an analog or manual practice into a digital interactive system may depend on how well that translation captures not only the functional what and how asp...
Monica M. C. Schraefel, Gareth V. Hughes, Hugo R. ...