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» Comparing distributions and shapes using the kernel distance
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IEEEPACT
2006
IEEE
15 years 6 months ago
Compiling for stream processing
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...
Abhishek Das, William J. Dally, Peter R. Mattson
119
Voted
ECCV
1996
Springer
16 years 2 months ago
Elastically Adaptive Deformable Models
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...
Dimitris N. Metaxas, Ioannis A. Kakadiaris
MIR
2010
ACM
229views Multimedia» more  MIR 2010»
15 years 7 months ago
Wavelet, active basis, and shape script: a tour in the sparse land
Sparse coding is a key principle that underlies wavelet representation of natural images. In this paper, we explain that the effort of seeking a common wavelet sparse coding of i...
Zhangzhang Si, Ying Nian Wu
126
Voted
HPCN
1997
Springer
15 years 4 months ago
Parallel Solution of Irregular, Sparse Matrix Problems Using High Performance Fortran
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
Eric de Sturler, Damian Loher
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
15 years 6 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...