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PG
2003
IEEE
14 years 2 months ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...
IROS
2009
IEEE
205views Robotics» more  IROS 2009»
14 years 3 months ago
Probabilistic categorization of kitchen objects in table settings with a composite sensor
— In this paper, we investigate the problem of 3D object categorization of objects typically present in kitchen environments, from data acquired using a composite sensor. Our fra...
Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jai...
CLEF
2006
Springer
14 years 27 days ago
Applying Logic Forms and Statistical Methods to CL-SR Performance
This paper describes in detail the combination of NLP methods applied to the treatment of logic forms in the topic processing and statistical methods applied to the search engine ...
Rafael M. Terol, Patricio Martínez-Barco, M...
DAC
2000
ACM
14 years 1 months ago
An asymptotically constant, linearly bounded methodology for the statistical simulation of analog circuits including component m
Abstract: This paper presents a new statistical methodology to simulate the effect of both inter-die and intra-die variation on the electrical performance of analog integrated circ...
Carlo Guardiani, Sharad Saxena, Patrick McNamara, ...
ICASSP
2008
IEEE
14 years 3 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu