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ECCV
2008
Springer
14 years 9 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
AUTOMATICA
2005
155views more  AUTOMATICA 2005»
13 years 7 months ago
Identification of MIMO Hammerstein models using least squares support vector machines
This paper studies a method for the identification of Hammerstein models based on Least Squares Support Vector Machines (LS-SVMs). The technique allows for the determination of th...
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Su...
ICPR
2004
IEEE
14 years 8 months ago
Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
Chengjun Liu, Peichung Shih
ISNN
2005
Springer
14 years 1 months ago
Scaling the Kernel Function to Improve Performance of the Support Vector Machine
Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
Peter Williams, Sheng Li, Jianfeng Feng, Si Wu
RECOMB
2002
Springer
14 years 8 months ago
Combining pairwise sequence similarity and support vector machines for remote protein homology detection
One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
Li Liao, William Stafford Noble