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» Pose Classification Using Support Vector Machines
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122
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IPMI
2009
Springer
16 years 3 months ago
A Unified Framework for MR Based Disease Classification
In this paper, we employ an anatomical parameterization of spatial warps to reveal structural differences between medical images of healthy control subjects and disease patients. T...
Kilian M. Pohl, Mert R. Sabuncu
MICRO
2005
IEEE
130views Hardware» more  MICRO 2005»
15 years 8 months ago
Exploiting Vector Parallelism in Software Pipelined Loops
An emerging trend in processor design is the addition of short vector instructions to general-purpose and embedded ISAs. Frequently, these extensions are employed using traditiona...
Samuel Larsen, Rodric M. Rabbah, Saman P. Amarasin...
122
Voted
SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
15 years 11 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
113
Voted
CSL
2006
Springer
15 years 2 months ago
Using quality measures for multilevel speaker recognition
The use of quality information for multilevel speaker recognition systems is addressed in this contribution. From a definition of what constitutes a quality measure, two applicati...
Daniel Garcia-Romero, Julian Fiérrez-Aguila...
196
Voted
CVPR
2012
IEEE
13 years 5 months ago
Two-person interaction detection using body-pose features and multiple instance learning
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...