Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

CMU Face Images Data Set

Below are papers that cite this data set, with context shown. Papers were automatically harvested and associated with this data set, in collaboration with Rexa.info.

Return to CMU Face Images data set page.


Xiaofeng He and Partha Niyogi. Locality Preserving Projections. NIPS. 2003.

Images Much research [5][6][7] has suggested that the human face images reside on a manifold embedded in the image space. In this subsection, we applied LPP to images of faces. The same face image dataset used in [5] is used for this experiment. Fig. 2 shows the mapping results. The images of faces are mapped into the 2-dimensional plane described by the first two coordinates of the Locality


Marina Meila and Michael I. Jordan. Learning with Mixtures of Trees. Journal of Machine Learning Research, 1. 2000.

For the third density estimation experiment, we used a subset of 576 images from the normalized face images dataset of [43]. These images were downsampled to 48 variables (pixels) and 5 gray levels. We divided the data randomly into N train = 500 and N test = 76 examples; of the 500 training examples, 50 were


Return to CMU Face Images data set page.

Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML