825 search results - page 17 / 165 » Learning Parts-Based Representations of Data |
122
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JMLR
2012
13 years 2 months ago
2012
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
124
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AAAI
2012
13 years 2 months ago
2012
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
100
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IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
ICANN
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
152
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...