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ICML
2007
IEEE
14 years 8 months ago
On learning with dissimilarity functions
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Liwei Wang, Cheng Yang, Jufu Feng
ICASSP
2009
IEEE
14 years 2 months ago
Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion m
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
Sungrack Yun, Chang D. Yoo
IJCNN
2006
IEEE
14 years 1 months ago
High-speed Bi-directional Function Approximation using Plausible Neural Networks
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen
FUIN
1998
135views more  FUIN 1998»
13 years 7 months ago
A Study on Partitioned Iterative Function Systems for Image Compression
The technique of image compression using Iterative Function System (IFS) is known as fractal image compression. An extension of IFS theory is called as Partitioned or local Iterati...
Suman K. Mitra, C. A. Murthy, Malay Kumar Kundu
MICCAI
2005
Springer
14 years 8 months ago
Finding Landmarks in the Functional Brain: Detection and Use for Group Characterization
Abstract. FMRI group studies are usually based on stereotactic spatial normalization and present voxel by voxel average activity across subjects. This technique does not in general...
Bertrand Thirion, Philippe Pinel, Jean-Baptiste Po...