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EMNLP
2011
14 years 6 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
EMNLP
2009
15 years 4 months ago
Toward Completeness in Concept Extraction and Classification
Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods o...
Eduard H. Hovy, Zornitsa Kozareva, Ellen Riloff
ICML
2007
IEEE
16 years 7 months ago
Quantum clustering algorithms
By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, ...
Esma Aïmeur, Gilles Brassard, Sébastie...
ICPR
2010
IEEE
16 years 1 months ago
Motion-Sketch Based Video Retrieval Using a Trellis Levenshtein Distance
We present a fast technique for retrieving video clips using free-hand sketched queries. Visual keypoints within each video are detected and tracked to form short trajectories, wh...
Rui Hu, John Philip Collomosse
IWPC
2009
IEEE
16 years 27 days ago
Variable granularity for improving precision of impact analysis
Impact analysis is a specialized process of program comprehension that investigates the nature and extent of a planned software change. Traditionally, impact analysis inspects dep...
Maksym Petrenko, Václav Rajlich