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MM
2005
ACM
172views Multimedia» more  MM 2005»
14 years 1 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic
ICASSP
2010
IEEE
13 years 8 months ago
Simultaneous search for all modes in multilinear models
Parallel factor (PARAFAC) analysis is an extension of a low rank decomposition to higher way arrays, usually called tensors. Most of existing methods are based on an alternating l...
Petr Tichavský, Zbynek Koldovský
ICDE
2010
IEEE
209views Database» more  ICDE 2010»
14 years 3 months ago
TopCells: Keyword-based search of top-k aggregated documents in text cube
— Previous studies on supporting keyword queries in RDBMSs provide users with a ranked list of relevant linked structures (e.g. joined tuples) or individual tuples. In this paper...
Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, C...
BPM
2009
Springer
138views Business» more  BPM 2009»
14 years 2 months ago
Graph Matching Algorithms for Business Process Model Similarity Search
We investigate the problem of ranking all process models in a repository according to their similarity with respect to a given process model. We focus specifically on the applicat...
Remco M. Dijkman, Marlon Dumas, Luciano Garc&iacut...
ICML
1998
IEEE
14 years 9 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...