100 search results - page 8 / 20 » Adapting SVM Classifiers to Data with Shifted Distributions |
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In this paper, we present new results from our research into the vulnerability of a speaker verification (SV) system to synthetic speech. We use a HMM-based speech synthesizer, w...
139
Voted
TNN
2008
14 years 11 months ago
2008
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
212
Voted
DAGM
2011
Springer
13 years 11 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
104
Voted
ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
96
Voted
AAAI
2008
15 years 1 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...