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» A general dimension for query learning
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KBSE
2000
IEEE
14 years 1 months ago
Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
Tim Menzies, Erik Sinsel
MM
2004
ACM
101views Multimedia» more  MM 2004»
14 years 2 months ago
Searching notated polyphonic music using transportation distances
We present a method for searching databases of symbolically represented polyphonic music that exploits advantages of transportation distances such as continuity and partial matchi...
Rainer Typke, Remco C. Veltkamp, Frans Wiering
MM
2004
ACM
151views Multimedia» more  MM 2004»
14 years 2 months ago
Multimodal concept-dependent active learning for image retrieval
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
Kingshy Goh, Edward Y. Chang, Wei-Cheng Lai
ESANN
2006
13 years 10 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
DSMML
2004
Springer
14 years 2 months ago
Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Applications such as audio fingerprinting require search in high dimensions: find an item in a database that is similar to a query. An important property of this search task is t...
Jonathan Goldstein, John C. Platt, Christopher J. ...