801 search results - page 60 / 161 » The Inefficiency of Batch Training for Large Training Sets |
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
ICDAR
2009
IEEE
14 years 3 months ago
2009
IEEE
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
ICMCS
2006
IEEE
14 years 3 months ago
2006
IEEE
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
FGR
2004
IEEE
14 years 22 days ago
2004
IEEE
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
AAAI
2008
13 years 11 months ago
2008
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...