1299 search results - page 90 / 260 » Quantizing Density Estimators |
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
ML
2012
ACM
12 years 3 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— The paper considers the algorithm NLU for distributed (vector) parameter estimation in sensor networks, where, the local observation models are nonlinear, and inter-sen...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
TSP
2010
13 years 2 months ago
2010
We study state estimation via wireless sensors over fading channels. Packet loss probabilities depend upon time-varying channel gains, packet lengths and transmission power levels ...