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ACCV
2007
Springer
15 years 10 months ago
Gesture Recognition Under Small Sample Size
This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a ...
Tae-Kyun Kim, Roberto Cipolla
SC
1995
ACM
15 years 7 months ago
Index Array Flattening Through Program Transformation
This paper presents techniques for compiling loops with complex, indirect array accesses into loops whose array references have at most one level of indirection. The transformatio...
Raja Das, Paul Havlak, Joel H. Saltz, Ken Kennedy
CIARP
2010
Springer
15 years 1 months ago
A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
Emanuele Frandi, Maria Grazia Gasparo, Stefano Lod...
JMLR
2011
110views more  JMLR 2011»
14 years 11 months ago
Training SVMs Without Offset
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
Ingo Steinwart, Don R. Hush, Clint Scovel
ICPR
2002
IEEE
16 years 5 months ago
A Computationally Efficient Approach to Indoor/Outdoor Scene Classification
Prior research in scene classification has shown that high-level information can be inferred from low-level image features. Classification rates of roughly 90% have been reported ...
Navid Serrano, Andreas E. Savakis, Jiebo Luo