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» Top-k learning to rank: labeling, ranking and evaluation
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PRL
2007
100views more  PRL 2007»
14 years 9 months ago
Visible models for interactive pattern recognition
The bottleneck in interactive visual classification is the exchange of information between human and machine. We introduce the concept of the visible model, which is an ion of an ...
Jie Zou, George Nagy
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
15 years 3 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
15 years 1 months ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen
ICCV
2011
IEEE
13 years 9 months ago
Relative Attributes
Human-nameable visual “attributes” can benefit various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...
Devi Parikh, Kristen Grauman
KBSE
2006
IEEE
15 years 3 months ago
Identifying Refactorings from Source-Code Changes
Software has been and is still mostly refactored without tool support. Moreover, as we found in our case studies, programmers tend not to document these changes as refactorings, o...
Peter Weißgerber, Stephan Diehl