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ICASSP
2011
IEEE
14 years 8 months ago
Compressed classification of observation sets with linear subspace embeddings
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
Dorina Thanou, Pascal Frossard
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
15 years 3 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
165
Voted
SPIRE
2009
Springer
15 years 11 months ago
Two-Dimensional Distributed Inverted Files
Abstract. Term-partitioned indexes are generally inefficient for the evaluation of conjunctive queries, as they require the communication of long posting lists. On the other side, ...
Esteban Feuerstein, Mauricio Marín, Michel ...
MUE
2007
IEEE
129views Multimedia» more  MUE 2007»
15 years 11 months ago
Analysis of Sound Features for Music Timbre Recognition
Recently, communication, digital music creation, and computer storage technology has led to the dynamic increasing of online music repositories in both number and size, where auto...
Xin Zhang, Zbigniew W. Ras
CIBB
2008
15 years 7 months ago
Stability and Performances in Biclustering Algorithms
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...