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» Unsupervised detection of contours using a statistical model
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AVSS
2007
IEEE
15 years 11 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
156
Voted
PAMI
2007
155views more  PAMI 2007»
15 years 4 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
ICCV
2005
IEEE
15 years 10 months ago
Fast Texture-Based Tracking and Delineation Using Texture Entropy
We propose a fast texture-segmentation approach to the problem of 2-D and 3–D model-based contour tracking, which is suitable for real-time or interactive applications. Our appr...
Ali Shahrokni, Tom Drummond, Pascal Fua
131
Voted
ITC
2003
IEEE
127views Hardware» more  ITC 2003»
15 years 10 months ago
Using Logic Models To Predict The Detection Behavior Of Statistical Timing Defects
In this paper, we study the possibility of using logic defect-level prediction models to predict the detection behavior of statistical timing defects. We compare two known logic m...
Li-C. Wang, Angela Krstic, Leonard Lee, Kwang-Ting...
ICIP
2002
IEEE
16 years 6 months ago
Detecting hidden messages using higher-order statistical models
Techniques for informationhidinghave become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become c...
Hany Farid