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ICIP
2006
IEEE
16 years 8 months ago
Stochastic Approach to Separate Diffuse and Specular Reflections
This paper presents separation of specular and diffuse reflection components from an image pair. The proposed approach is based on the dichromatic reflectance model and Markov ran...
Sang Hwa Lee, Hyung il Koo, Nam Ik Cho, Jong-Il Pa...
AIPR
2002
IEEE
16 years 17 hour ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
TSP
2008
173views more  TSP 2008»
15 years 7 months ago
Gaussian Mixture Modeling by Exploiting the Mahalanobis Distance
In this paper, the expectation-maximization (EM) algorithm for Gaussian mixture modeling is improved via three statistical tests. The first test is a multivariate normality criteri...
Dimitrios Ververidis, Constantine Kotropoulos
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
15 years 5 months ago
Sparse Unsupervised Dimensionality Reduction Algorithms
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...
Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
ACMDIS
2004
ACM
16 years 14 days ago
Between the dazzle of a new building and its eventual corpse: assembling the ubiquitous home
This paper presents the development of a lightweight component model that allows user to manage the
Tom Rodden, Andy Crabtree, Terry Hemmings, Boriana...