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» Feature versus model based noise robustness
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ICPR
2008
IEEE
14 years 2 months ago
Active contour algorithm for texture segmentation using a texture feature set
This paper presents a novel algorithm for unsupervised texture segmentation. We incorporate a set of texture features under a segmentation framework, based on the active contour w...
Sandro Vega-Pons, José Luís Gil Rodr...
INFOCOM
2009
IEEE
14 years 2 months ago
Robust Event Boundary Detection in Sensor Networks - A Mixture Model Based Approach
—Detecting event frontline or boundary sensors in a complex sensor network environment is one of the critical problems for sensor network applications. In this paper, we propose ...
Min Ding, Xiuzhen Cheng
ICML
2008
IEEE
14 years 8 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
14 years 28 days ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
ICPR
2000
IEEE
13 years 11 months ago
Wavelet Based Texture Classification
Textures are one of the basic features in visual searching and computational vision. In the literature, most of the attention has been focussed on the texture features with minima...
Nicu Sebe, Michael S. Lew