571 search results - page 108 / 115 » Learning with Constrained and Unlabelled Data |
PAMI
2007
13 years 9 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
ICIP
2007
IEEE
14 years 11 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
ACML
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way f...