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ESANN
2003
14 years 11 months ago
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on...
Cédric Archambeau, John Aldo Lee, Michel Ve...
IJCV
2008
167views more  IJCV 2008»
14 years 10 months ago
Learning Layered Motion Segmentations of Video
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
DAC
2005
ACM
15 years 11 months ago
Power emulation: a new paradigm for power estimation
In this work, we propose a new paradigm called power emulation, which exploits hardware acceleration to drastically speedup power estimation. Power emulation is based on the obser...
Joel Coburn, Srivaths Ravi, Anand Raghunathan
TIP
2008
169views more  TIP 2008»
14 years 10 months ago
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
Adrian M. Peter, Anand Rangarajan
ICIP
2008
IEEE
15 years 11 months ago
Motion estimation with entropy coding considerations in H.264/AVC
In many modern video encoders, motion estimation is usually formulated as a Lagrangian cost function that balances motion prediction accuracy and the rate to transmit motion vecto...
Zhen Li, Alexis Michael Tourapis