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DAGM
2011
Springer
14 years 6 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
CVPR
1999
IEEE
16 years 8 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ICIP
2000
IEEE
16 years 8 months ago
The Orientation Adaptive Lapped Orthogonal Transform for Image Coding
In this paper, a lapped orthogonal transform adapted for local directionality of an image is proposed and its application in adaptive image coding is presented. First, we address ...
Toshihisa Tanaka, Yukihiko Yamashita
ICIP
2009
IEEE
16 years 7 months ago
Improved Global Cardiac Tractography With Simulated Annealing
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...
ICML
2006
IEEE
16 years 7 months ago
A continuation method for semi-supervised SVMs
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
Olivier Chapelle, Mingmin Chi, Alexander Zien