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» Optimize the obvious: Automatic call flow generation
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DAC
2012
ACM
13 years 8 months ago
A metric for layout-friendly microarchitecture optimization in high-level synthesis
In this work we address the problem of managing interconnect timing in high-level synthesis by generating a layoutfriendly microarchitecture. A metric called spreading score is pr...
Jason Cong, Bin Liu
PAMI
2010
238views more  PAMI 2010»
15 years 4 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
ACL
2006
15 years 7 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
ATAL
2003
Springer
15 years 11 months ago
Authoring scenes for adaptive, interactive performances
In this paper, we introduce a toolkit called SceneMaker for authoring scenes for adaptive, interactive performances. These performances are based on automatically generated and pr...
Patrick Gebhard, Michael Kipp, Martin Klesen, Thom...
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 11 months ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...