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JMLR
2012
13 years 9 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
ICDCSW
2011
IEEE
14 years 6 months ago
Cross-Examination of Datacenter Workload Modeling Techniques
Datacenter workload modeling has become a necessity in recent years due to the emergence of large-scale applications and cloud data-stores, whose implementation remains largely un...
Christina Delimitrou, Christos Kozyrakis
ICML
2000
IEEE
16 years 7 months ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic
ECCV
2004
Springer
16 years 8 months ago
Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
In this paper, we propose a new PDE-based methodology for deformable surfaces that is capable of automatically evolving its shape to capture the geometric boundary of the data and ...
Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras
RTAS
2003
IEEE
15 years 12 months ago
Modular Code Generation from Hybrid Automata based on Data Dependency
Model-based automatic code generation is a process of converting abstract models into concrete implementations in the form of a program written in a high-level programming languag...
Jesung Kim, Insup Lee