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SIGIR
2008
ACM
15 years 6 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
CGO
2004
IEEE
15 years 10 months ago
Specialized Dynamic Optimizations for High-Performance Energy-Efficient Microarchitecture
We study several major characteristics of dynamic optimization within the PARROT power-aware, trace-cachebased microarchitectural framework. We investigate the benefit of providin...
Yoav Almog, Roni Rosner, Naftali Schwartz, Ari Sch...
SCOPES
2004
Springer
16 years 2 days ago
Combined Data Partitioning and Loop Nest Splitting for Energy Consumption Minimization
For mobile embedded systems, the energy consumption is a limiting factor because of today’s battery capacities. Besides the processor, memory accesses consume a high amount of en...
Heiko Falk, Manish Verma
CVPR
2001
IEEE
16 years 8 months ago
A Bayesian Approach to Digital Matting
This paper proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel ...
Yung-Yu Chuang, Brian Curless, David Salesin, Rich...
ICCV
2007
IEEE
16 years 8 months ago
Fitting a Morphable Model to 3D Scans of Faces
This paper presents a top-down approach to 3D data analysis by fitting a Morphable Model to scans of faces. In a unified framework, the algorithm optimizes shape, texture, pose an...
Volker Blanz, Kristina Scherbaum, Hans-Peter Seide...