18 search results - page 1 / 4 » Quantization of Continuous Input Variables for Binary Classi... |
IDEAL
2000
Springer
13 years 8 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
NIPS
1996
13 years 6 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
ISCAS
2003
IEEE
13 years 10 months ago
2003
IEEE
We present an algorithmic analog-to-digital converter (ADC) architecture for large-scale parallel quantization of internally analog variables in externally digital array processor...
DICTA
2003
13 years 6 months ago
2003
Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input syst...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...