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MHCI
2009
Springer
15 years 5 months ago
Information empowerment through mobile learning
Information empowers those who make sense from its successful interpretation; this is especially true on the subject of weather where the recipient is required to have prior forms...
Raymond Koon Chuan Koh, Henry Xin Liong Tan, Henry...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
15 years 11 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 11 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
CVPR
2009
IEEE
16 years 6 months ago
Large Displacement Optical Flow
The literature currently provides two ways to establish point correspondences between images with moving objects. On one side, there are energy minimization methods that yield v...
Thomas Brox (University of California, Berkeley), ...
IMC
2007
ACM
15 years 16 days ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...