1299 search results - page 20 / 260 » Quantizing Density Estimators |
109
Voted
ICASSP
2010
IEEE
15 years 2 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...
114
Voted
ICIP
2001
IEEE
16 years 4 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...
126
Voted
CSDA
2006
15 years 2 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...
134
Voted
IDA
2007
Springer
15 years 8 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...
114
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CVPR
2005
IEEE
16 years 4 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...