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ICFCA
2009
Springer
13 years 5 months ago
A Concept Lattice-Based Kernel for SVM Text Classification
Abstract. Standard Support Vector Machines (SVM) text classification relies on bag-of-words kernel to express the similarity between documents. We show that a document lattice can ...
Claudio Carpineto, Carla Michini, Raffaele Nicolus...
ICASSP
2011
IEEE
12 years 11 months ago
Structural MAP adaptation in GMM-supervector based speaker recognition
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, mainly targeting speaker and session variation disentangling under the Maximum a...
Marc Ferras, Koichi Shinoda, Sadaoki Furui
AAAI
2006
13 years 9 months ago
Tensor Embedding Methods
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
Guang Dai, Dit-Yan Yeung
VIS
2007
IEEE
162views Visualization» more  VIS 2007»
14 years 9 months ago
Segmentation of Three-dimensional Retinal Image Data
We have combined methods from volume visualization and data analysis to support better diagnosis and treatment of human retinal diseases. Many diseases can be identified by abnorma...
Alfred R. Fuller, Rober t J. Zawadzki, Stacey Ch...
CVPR
2008
IEEE
14 years 10 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...