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» Robust Computer Vision through Kernel Density Estimation
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129
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ACIVS
2007
Springer
15 years 5 months ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic
139
Voted
CVPR
2012
IEEE
13 years 4 months ago
Center-Shift: An approach towards automatic robust mesh segmentation (ARMS)
In the area of 3D shape analysis, research in mesh segmentation has always been an important topic, as it is a fundamental low-level task which can be utilized in many application...
Mengtian Sun, Yi Fang, Karthik Ramani
146
Voted
CVPR
2006
IEEE
15 years 8 months ago
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
CVPR
2010
IEEE
14 years 12 months ago
Adaptive pose priors for pictorial structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
15 years 8 months ago
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...