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CORR
2010
Springer
168views Education» more  CORR 2010»
14 years 8 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
COLT
2010
Springer
14 years 7 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
97
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QEST
2010
IEEE
14 years 7 months ago
Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
András Horváth, Lorenzo Ridi, Enrico...
ICCAD
2009
IEEE
89views Hardware» more  ICCAD 2009»
14 years 7 months ago
Decoupling capacitance efficient placement for reducing transient power supply noise
Decoupling capacitance (decap) is an efficient way to reduce transient noise in on-chip power supply networks. However, excessive decap may cause more leakage power, chip resource...
Xiaoyi Wang, Yici Cai, Qiang Zhou, Sheldon X.-D. T...
AISS
2010
169views more  AISS 2010»
14 years 7 months ago
Effective Lane Detection and Tracking Method Using Statistical Modeling of Color and Lane Edge-orientation
This paper proposes an effective lane detection and tracking method using statistical modeling of lane color and edge-orientation in the image sequence. At first, we will address ...
Jin-Wook Lee, Jae-Soo Cho