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CVPR
2004
IEEE
16 years 8 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
ICCV
1999
IEEE
16 years 8 months ago
Finding People by Sampling
We show how to use a sampling method to find sparsely clad people in static images. People are modeled as an assembly of nine cylindrical segments. Segments are found using an EM ...
Sergey Ioffe, David A. Forsyth
WCRE
2002
IEEE
15 years 11 months ago
Estimating Potential Parallelism for Platform Retargeting
Scientific, symbolic, and multimedia applications present diverse computing workloads with different types of inherent parallelism. Tomorrow’s processors will employ varying com...
Linda M. Wills, Tarek M. Taha, Lewis B. Baumstark ...
IPPS
1998
IEEE
15 years 10 months ago
An Enhanced Co-Scheduling Method Using Reduced MS-State Diagrams
Instruction scheduling methods based on the construction of state diagrams (or automata) have been used for architectures involving deeply pipelined function units. However, the s...
Ramaswamy Govindarajan, N. S. S. Narasimha Rao, Er...
SIGGRAPH
1998
ACM
15 years 10 months ago
Interactive Multi-Resolution Modeling on Arbitrary Meshes
During the last years the concept of multi-resolution modeling has gained special attention in many fields of computer graphics and geometric modeling. In this paper we generaliz...
Leif Kobbelt, Swen Campagna, Jens Vorsatz, Hans-Pe...