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ECCV
2004
Springer
14 years 8 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
ICIP
2009
IEEE
14 years 7 months ago
Rapid And Robust Human Detection And Tracking Based On Omega-shape Features
This paper proposes a novel method for rapid and robust human detection and tracking based on the omega-shape features of people's head-shoulder parts. There are two modules ...
ISBI
2009
IEEE
14 years 1 months ago
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
Kannan Umadevi Venkataraju, António R. C. P...
ICVGIP
2008
13 years 7 months ago
Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
Adam Herout, Pavel Zemcík, Roman Jurá...
ICIP
2010
IEEE
13 years 4 months ago
A supervised micro-calcification detection approach in digitised mammograms
We present in this paper a supervised approach for automatic detection of micro-calcifications. The system is based on learning the different morphology of the micro-calcification...
Albert Torrent, Arnau Oliver, Xavier Lladó,...