151 search results - page 10 / 31 » MGMM: Multiresolution Gaussian Mixture Models for Computer V... |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper presents a novel Gaussianized vector representation for scene images by an unsupervised approach. First, each image is encoded as an ensemble of orderless bag of featur...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we consider speaker identification for the co-channel scenario in which speech mixture from speakers is recorded by one microphone only. The goal is to identify both...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
BMVC
2001
13 years 9 months ago
2001
Visual interpretation of events requires both an appropriate representation of change occurring in the scene and the application of semantics for differentiating between different...