889 search results - page 55 / 178 » Observational Learning in Random Networks |
PERCOM
2007
ACM
14 years 9 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
JMLR
2008
13 years 9 months ago
2008
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
We address the problem of label assignment in computer
vision: given a novel 3-D or 2-D scene, we wish to assign a
unique label to every site (voxel, pixel, superpixel, etc.). To...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...