70 search results - page 5 / 14 » Motion vector recovery with Gaussian Process Regression |
ICIP
2008
IEEE
14 years 8 months ago
2008
IEEE
For low bitrate video communications, each video frame usually fills the payload of a single network packet. In this situation, the loss of a packet may result in loosing the enti...
ICCV
2009
IEEE
13 years 4 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
ML
2002
ACM
13 years 6 months ago
2002
ACM
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...