CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
MMM
2011
Springer
13 years 3 months ago
2011
Springer
Visual summarization of landmarks is an interesting and non-trivial task with the availability of gigantic community-contributed resources. In this work, we investigate ways to gen...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) techni...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
CSL
2011
Springer
13 years 6 months ago
2011
Springer
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
ICMCS
2009
IEEE
13 years 9 months ago
2009
IEEE
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...