120 search results - page 15 / 24 » Learning Data Set Similarities for Hyperparameter Optimizati... |
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
CVPR
2008
IEEE
16 years 19 hour ago
2008
IEEE
We consider two scenarios of naming people in databases of news photos with captions: (i) finding faces of a single person, and (ii) assigning names to all faces. We combine an in...
MM
2009
ACM
15 years 4 months ago
2009
ACM
Automatic video search based on semantic concept detectors has recently received significant attention. Since the number of available detectors is much smaller than the size of h...
ICDM
2006
IEEE
15 years 4 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...