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IRREGULAR
1997
Springer
14 years 29 days ago
Programming with Shared Data Abstractions
ing with shared data abstractions Simon Dobson1 and Don Goodeve2 1 Well-Founded Systems Unit, CLRC Rutherford Appleton Laboratory, UK 2 School of Computer Studies, University of Le...
Simon A. Dobson, Don Goodeve
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
14 years 21 days ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
EDO
2000
Springer
14 years 13 days ago
Component Metadata for Software Engineering Tasks
Abstract. This paper presents a framework that lets a component developer provide a component user with different kinds of information, depending on the specific context and needs....
Alessandro Orso, Mary Jean Harrold, David S. Rosen...
MTA
2002
195views more  MTA 2002»
13 years 8 months ago
Shot Partitioning Based Recognition of TV Commercials
Digital video applications exploit the intrinsic structure of video sequences. In order to obtain and represent this structure for video annotation and indexing tasks, the main ini...
Juan María Sánchez, Xavier Binefa, J...
SISAP
2010
IEEE
243views Data Mining» more  SISAP 2010»
13 years 6 months ago
Similarity matrix compression for efficient signature quadratic form distance computation
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
Christian Beecks, Merih Seran Uysal, Thomas Seidl