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» Extracting general-purpose features from LIDAR data
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SASO
2007
IEEE
15 years 10 months ago
Towards Self-organizing Virtual Macro Sensors
The future mass deployment of pervasive and dense sensor network infrastructures calls for proper mechanisms to enable extracting general-purpose data from them at limited costs a...
Nicola Bicocchi, Marco Mamei, Franco Zambonelli
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Open Microscopy Environment
High-throughput scoring of image-based biological assays heavily depends on the extraction of quantitative numerical information from microscopy images. This paper describes how t...
Ilya G. Goldberg
NIPS
2008
15 years 5 months ago
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Offline handwriting recognition--the transcription of images of handwritten text--is an interesting task, in that it combines computer vision with sequence learning. In most syste...
Alex Graves, Jürgen Schmidhuber
245
Voted
CVIU
1999
238views more  CVIU 1999»
15 years 3 months ago
A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
Jean-Philippe Tarel, Nozha Boujemaa
ICPR
2010
IEEE
15 years 2 months ago
Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles
Abstract--In this paper we introduce a probabilistic approach of building extraction in remotely sensed images. To cope with data heterogeneity we construct a flexible hierarchical...
Csaba Benedek, Xavier Descombes, Josiane Zerubia