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ICML
2008
IEEE
15 years 10 months ago
An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators
Statistical and computational concerns have motivated parameter estimators based on various forms of likelihood, e.g., joint, conditional, and pseudolikelihood. In this paper, we ...
Percy Liang, Michael I. Jordan
ICMCS
2006
IEEE
113views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Fast Multi-Reference Frame Motion Estimation via Downhill Simplex Search
Multi-reference frame motion estimation improves the accuracy of motion compensation in video compression, but it also dramatically increases computational complexity. Based on tr...
Chen-Kuo Chiang, Shang-Hong Lai
CODES
2000
IEEE
15 years 2 months ago
Performance estimation for embedded systems with data and control dependencies
In this paper we present an approach to performance estimation for hard real-time systems. We consider architectures consisting of multiple processors. The scheduling policy is ba...
Paul Pop, Petru Eles, Zebo Peng
CSDA
2006
94views more  CSDA 2006»
14 years 9 months ago
Simulation-based approach to estimation of latent variable models
We propose a simulation-based method for calculating maximum likelihood estimators in latent variable models. The proposed method integrates a recently developed sampling strategy...
Zhiguang Qian, Alexander Shapiro
JMLR
2006
79views more  JMLR 2006»
14 years 9 months ago
Estimation of Gradients and Coordinate Covariation in Classification
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
Sayan Mukherjee, Qiang Wu