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ICPR
2008
IEEE
13 years 11 months ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
IJCNN
2006
IEEE
13 years 11 months ago
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
Yiwen Wang 0002, António R. C. Paiva, Jose ...
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 25 days ago
Statistical analysis of kernel-based least-squares density-ratio estimation
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...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
ICCV
2001
IEEE
14 years 7 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
ENC
2006
IEEE
13 years 9 months ago
Adaptive Node Refinement Collocation Method for Partial Differential Equations
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...
José Antonio Muñoz-Gómez, Ped...