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ICASSP
2011
IEEE
13 years 2 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
CVPR
2009
IEEE
15 years 6 months ago
On Compositional Image Alignment with an Application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositional ...
Brian Amberg (University of Basel), Andrew Blake (...
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
14 years 5 months ago
On the use of numerical methods for analysis and control of nonlinear convective systems
Abstract— A common approach to designing feedback controllers for nonlinear partial differential equations (PDEs) is to linearize the system about an equilibrium and use the line...
Edward Allen, John A. Burns, David S. Gilliam
CASES
2006
ACM
14 years 2 months ago
Efficient architectures through application clustering and architectural heterogeneity
Customizing architectures for particular applications is a promising approach to yield highly energy-efficient designs for embedded systems. This work explores the benefits of arc...
Lukasz Strozek, David Brooks
IJES
2008
83views more  IJES 2008»
13 years 11 months ago
Evaluating memory architectures for media applications on Coarse-grained Reconfigurable Architectures
Reconfigurable ALU Array (RAA) architectures--representing a popular class of Coarse-grained Reconfigurable Architectures--are gaining in popularity especially for media applicati...
Jong-eun Lee, Kiyoung Choi, Nikil Dutt