889 search results - page 55 / 178 » Observational Learning in Random Networks |
111
Voted
PERCOM
2007
ACM
16 years 3 days 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...
112
Voted
JMLR
2008
15 years 14 days 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...
90
Voted
ICML
2004
IEEE
16 years 1 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...
124
click to vote
CVPR
2009
IEEE
16 years 7 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...
93
Voted
ICML
2009
IEEE
16 years 1 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 ...