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JMLR
2012
11 years 11 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
CVPR
2006
IEEE
14 years 11 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
CVPR
2007
IEEE
14 years 11 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
ICIP
2002
IEEE
14 years 10 months ago
Nonadditive Gaussian watermarking and its application to wavelet-based image watermarking
This paper extends our recent game-theoretic approach [1] to design and embed watermarks in Gaussian signals in the presence of an adversary. The detector solves a binary hypothes...
Pierre Moulin, Aleksandar Ivanovic
ICML
2006
IEEE
14 years 9 months ago
An investigation of computational and informational limits in Gaussian mixture clustering
We investigate under what conditions clustering by learning a mixture of spherical Gaussians is (a) computationally tractable; and (b) statistically possible. We show that using p...
Nathan Srebro, Gregory Shakhnarovich, Sam T. Rowei...