1299 search results - page 13 / 260 » Quantizing Density Estimators |
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
ICIC
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
IPSN
2005
Springer
14 years 1 months ago
2005
Springer
— In this paper, we propose a quantizer design algorithm that is optimized for source localization in sensor networks. For this application, the goal is to minimize the amount of...
TCOM
2011
13 years 2 months ago
2011
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...