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» Dynamically Adapting Kernels in Support Vector Machines
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155
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DAGM
2007
Springer
15 years 7 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
142
Voted
AIME
2009
Springer
15 years 7 months ago
Effect of Background Correction on Cancer Classification with Gene Expression Data
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
Adelaide Freitas, Gladys Castillo, Ana São ...
87
Voted
LREC
2010
146views Education» more  LREC 2010»
15 years 5 months ago
The Influence of the Utterance Length on the Recognition of Aged Voices
This paper addresses the recognition of elderly callers based on short and narrow-band utterances, which are typical for Interactive Voice Response (IVR) systems. Our study is bas...
Alexander Schmitt, Tim Polzehl, Wolfgang Minker, J...
129
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JMLR
2006
89views more  JMLR 2006»
15 years 3 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
149
Voted
ICPR
2010
IEEE
15 years 2 months ago
Human Action Recognition Using Segmented Skeletal Features
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
Sang Min Yoon, Arjan Kuijper