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ICPR
2004
IEEE
15 years 19 days ago
Rapid Spline-based Kernel Density Estimation for Bayesian Networks
The likelihood for patterns of continuous attributes for the naive Bayesian classifier (NBC) may be approximated by kernel density estimation (KDE), letting every pattern influenc...
Boaz Lerner, Yaniv Gurwicz
ICPR
2008
IEEE
15 years 22 days ago
Kernel bandwidth estimation in methods based on probability density function modelling
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 ...
Adrian G. Bors, Nikolaos Nasios
ICPR
2008
IEEE
15 years 22 days ago
Recovering audio-to-video synchronization by audiovisual correlation analysis
Audio-to-video synchronization (AV-sync) may drift and is difficult to recover without dedicated human effort. In this work, we develop an interactive method to recover the drifte...
Yoichi Sato, Yuyu Liu
ICIP
2007
IEEE
15 years 1 months ago
Distancecut: Interactive Segmentation and Matting of Images and Videos
An interactive algorithm for soft segmentation and matting of natural images and videos is presented in this paper. The technique follows and extends [10], where the user first ro...
Xue Bai, Guillermo Sapiro
ECCV
2004
Springer
15 years 1 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
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...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
ICCV
2001
IEEE
15 years 1 months ago
Robust Histogram Construction from Color Invariants
An effective object recognition scheme is to represent and match images on the basis of histograms derived from photometric color invariants. A drawback, however, is that certain c...
Theo Gevers
ICCV
2003
IEEE
15 years 1 months ago
Improved Fast Gauss Transform and Efficient Kernel Density Estimation
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...
CVPR
2005
IEEE
15 years 1 months ago
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation
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...
Kai Zhang, Ming Tang, James T. Kwok