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ICTAI
2005
IEEE
14 years 1 months ago
Latent Process Model for Manifold Learning
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...
MLMI
2004
Springer
14 years 1 months ago
Speaker Indexing in Audio Archives Using Gaussian Mixture Scoring Simulation
Speaker indexing has recently emerged as an important task due to the rapidly growing volume of audio archives. Current filtration techniques still suffer from problems both in acc...
Hagai Aronowitz, David Burshtein, Amihood Amir
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 7 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
ICALT
2005
IEEE
14 years 1 months ago
Some Difficulties in Distance Learning in Developing Countries
This paper presents the difficulties, which the students and the teachers are faced with in the distance learning process. We will begin by presenting the technical and the admini...
Hedia Mhiri Sellami
ESANN
2006
13 years 9 months ago
Degeneracy in model selection for SVMs with radial Gaussian kernel
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
Tobias Glasmachers