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119
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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 9 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
115
Voted
PCI
2005
Springer
15 years 8 months ago
Unsupervised Learning of Multiple Aspects of Moving Objects from Video
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
Michalis K. Titsias, Christopher K. I. Williams
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
15 years 7 months ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...
120
Voted
DI
2007
81views more  DI 2007»
15 years 2 months ago
Using every part of the buffalo in Windows memory analysis
All Windows memory analysis techniques depend on the examiner’s ability to translate the virtual addresses used by programs and operating system components into the true locatio...
Jesse D. Kornblum
ICIP
1994
IEEE
16 years 4 months ago
Joint Parameter Estimation and Restoration using MRF Models and Homotopy Continuation Method
This paper presents a joint strategy for parameter estimation of Markov Random Field (MRF) model and image restoration. The proposed scheme is an unsupervised one in the sense tha...
P. K. Nanda, Uday B. Desai, P. G. Poonacha