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» Supervised dimensionality reduction using mixture models
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WEBI
2005
Springer
15 years 9 months ago
Efficient Extraction of Closed Motivic Patterns in Multi-Dimensional Symbolic Representations of Music
In this paper, we present an efficient model for discovering repeated patterns in symbolic representations of music. Combinatorial redundancy inherent to the pattern discovery pa...
Olivier Lartillot
189
Voted
CVPR
2012
IEEE
13 years 5 months ago
Leveraging category-level labels for instance-level image retrieval
In this article, we focus on the problem of large-scale instance-level image retrieval. For efficiency reasons, it is common to represent an image by a fixed-length descriptor w...
Albert Gordo, José A. Rodríguez-Serr...
BMCBI
2006
165views more  BMCBI 2006»
15 years 3 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
PAMI
2008
119views more  PAMI 2008»
15 years 3 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
NAACL
2003
15 years 4 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz