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» Object Recognition Using Segmentation for Feature Detection
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NC
1998
143views Neural Networks» more  NC 1998»
15 years 3 months ago
Spotting Arabic Phonetic Features Using Modular Connectionist Architectures and a Rule-Based System
This paper reports the results of experiments in complex Arabic phonetic features identification using a rulebased system (SARPH) and modular connectionist architectures. The firs...
Sid-Ahmed Selouani, Jean Caelen
ICPR
2008
IEEE
15 years 8 months ago
Moving object segmentation using the 9/7-10/8 dual-tree complex filter bank
This paper introduces our recently designed 9/7– 10/8 dual-tree complex filter bank and studies its application in moving object detection and segmentation. The dual-tree compl...
Aryaz Baradarani
IUI
2005
ACM
15 years 7 months ago
Doubleshot: an interactive user-aided segmentation tool
In this paper, we describe an intelligent user interface designed for camera phones to allow mobile users to specify the object of interest in the scene simply by taking two pictu...
Tom Yeh, Trevor Darrell
121
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CLOR
2006
15 years 5 months ago
Shared Features for Multiclass Object Detection
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
CVPR
2005
IEEE
15 years 7 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson