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ICASSP
2011
IEEE
12 years 9 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
PAKDD
2010
ACM
178views Data Mining» more  PAKDD 2010»
13 years 10 months ago
SkyDist: Data Mining on Skyline Objects
The skyline operator is a well established database primitive which is traditionally applied in a way that only a single skyline is computed. In this paper we use multiple skylines...
Christian Böhm, Annahita Oswald, Claudia Plan...
ICRA
2010
IEEE
226views Robotics» more  ICRA 2010»
13 years 4 months ago
Indoor scene recognition through object detection
Abstract— Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in p...
Pablo Espinace, Thomas Kollar, Alvaro Soto, Nichol...
CVPR
2009
IEEE
15 years 21 days ago
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
This paper studies a framework for matching an unknown number of corresponding structures in two images (shapes), motivated by detecting objects in cluttered background and lear...
Kun Zeng, Liang Lin, Song Chun Zhu, Xiaobai Liu
CVPR
2008
IEEE
14 years 7 months ago
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking
Given an object model and a black-box measure of similarity between the model and candidate targets, we consider visual object tracking as a numerical optimization problem. During...
Zhaozheng Yin, Robert T. Collins