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IPMI
2005
Springer
13 years 10 months ago
Linearization of Mammograms Using Parameters Derived from Noise Characteristics
A method is proposed for converting digitized mammograms to a normalized representation, in which pixel values are linearly related to the logarithm of x-ray exposure. This method ...
Nico Karssemeijer, Peter R. Snoeren, Wei Zhang
TSP
2008
105views more  TSP 2008»
13 years 5 months ago
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...
CVPR
2007
IEEE
14 years 7 months ago
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
ICNSC
2008
IEEE
13 years 11 months ago
Robust Variance Constrained Filter Design for Systems with Non-Gaussian Noises
In this paper, a variance constrained filtering problem is considered for systems with both non-Gaussian noises and polytopic uncertainty. A novel filter is developed to estimate t...
Fuwen Yang, Yongmin Li, Xiaohui Liu
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
14 years 5 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...