34 search results - page 4 / 7 » Complex Gaussian scale mixtures of complex wavelet coefficie... |
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper, we propose an efficient low complexity compression scheme for densely sampled irregular 3D meshes. This scheme is based on 3D multiresolution analysis (3D Discrete ...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Spread Transform (ST) is a quantization watermarking algorithm in which vectors of the wavelet coefficients of a host work are quantized, using one of two dithered quantizers, to ...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
The paper proposes a new wavelet-based Bayesian approach to image deconvolution, under the space-invariant blur and additive white Gaussian noise assumptions. Image deconvolution ...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...