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CVPR
2007
IEEE
16 years 8 months ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals
ICPR
2008
IEEE
16 years 7 months ago
On refining dissimilarity matrices for an improved NN learning
Application-specific dissimilarity functions can be used for learning from a set of objects represented by pairwise dissimilarity matrices in this context. These dissimilarities m...
Elzbieta Pekalska, Robert P. W. Duin
ISBI
2008
IEEE
16 years 7 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
16 years 1 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
DIGITEL
2007
IEEE
16 years 27 days ago
Shadow Box: an interactive learning toy for children
The Shadow Box is a tangible computing project that exploits visual association and auditory clues to teach children the representational relationship between words and their mean...
Ja-Young Sung, Aaron Levisohn, Ji-won Song, Ben To...