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CVPR
2007
IEEE
16 years 6 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 5 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 5 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»
15 years 11 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
15 years 10 months 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...