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AAAI
2008
13 years 11 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
JMM2
2007
148views more  JMM2 2007»
13 years 8 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...
EOR
2010
94views more  EOR 2010»
13 years 8 months ago
The effect of demand uncertainty in a price-setting newsvendor model
We study the effects of demand uncertainty on optimal decisions and the expected profit of a pricesetting newsvendor who faces either additive or multiplicative stochastic demand....
Minghui Xu, Youhua (Frank) Chen, Xiaolin Xu
ACII
2005
Springer
14 years 2 months ago
Face Alignment Under Various Poses and Expressions
In this paper, we present a face alignment system to deal with various poses and expressions. In addition to global shape model, we use component shape model such as mouth shape mo...
Shengjun Xin, Haizhou Ai
TSP
2008
105views more  TSP 2008»
13 years 8 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...