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» Combinators Introduction: An Algorithm
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98
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AAAI
2010
15 years 4 months ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...
PAMI
2008
250views more  PAMI 2008»
15 years 2 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman
112
Voted
JILP
2000
103views more  JILP 2000»
15 years 2 months ago
Comparing and Combining Profiles
How much do two profiles of the same program differ? When has a profile changed enough to warrant reexamination of the profiled program? And how should two or more profiles be com...
Serap A. Savari, Cliff Young
PERCOM
2010
ACM
15 years 29 days ago
All for one or one for all? Combining heterogeneous features for activity spotting
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lu...
122
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WS
2010
ACM
15 years 27 days ago
DLEJena: A practical forward-chaining OWL 2 RL reasoner combining Jena and Pellet
This paper describes DLEJena, a practical reasoner for the OWL 2 RL profile that combines the forward-chaining rule engine of Jena and the Pellet DL reasoner. This combination is...
Georgios Meditskos, Nick Bassiliades