1299 search results - page 20 / 260 » Quantizing Density Estimators |
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose a quantization design technique (estimator) suitable for new compressed sensing sampling systems whose ultimate goal is classification or detection. The design is base...
81
Voted
ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
CSDA
2006
14 years 9 months ago
2006
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
IDA
2007
Springer
15 years 3 months ago
2007
Springer
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assign...
79
Voted
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...