2878 search results - page 23 / 576 » Learning the Common Structure of Data |
IJCAI
2001
13 years 9 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
MLMI
2005
Springer
14 years 1 months ago
2005
Springer
We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, ...
ADVCS
2011
12 years 8 months ago
2011
Two distinct learning mechanisms are considered for a population of agents who engage in decentralized search for the common optimum. An agent may choose to learn via innovation (...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
RECOMB
2007
Springer
14 years 8 months ago
2007
Springer
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...