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» A Performance Process Maturity Model
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180
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ML
2008
ACM
15 years 6 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
153
Voted
NAACL
2010
15 years 4 months ago
Context-free reordering, finite-state translation
We describe a class of translation model in which a set of input variants encoded as a context-free forest is translated using a finitestate translation model. The forest structur...
Christopher Dyer, Philip Resnik
165
Voted
ICIP
2005
IEEE
16 years 8 months ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte
158
Voted
ICIP
2004
IEEE
16 years 8 months ago
Rate-distortion modeling of scalable video coders
After the emergence of numerous Internet streaming applications, rate-distortion (R-D) modeling of scalable video encoders has become an important issue. In this paper, we examine...
Min Dai, Dmitri Loguinov, Hayder Radha
198
Voted
ICIP
2009
IEEE
16 years 6 months ago
A Markov Random Field Model for Extracting Near-Circular Shapes
We propose a binary Markov Random Field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We...
Tamas Blaskovics, Zoltan Kato, and Ian Jermyn