29 search results - page 5 / 6 » Recognizing Handwritten Digits Using Mixtures of Linear Mode... |
NIPS
1994
13 years 6 months ago
1994
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
PDCN
2004
13 years 6 months ago
2004
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
PAMI
2012
11 years 8 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
ECML
2001
Springer
13 years 10 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci�...