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» Precision and Recall in Rough Support Vector Machines
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ICASSP
2009
IEEE
15 years 4 months ago
High-level feature extraction using SVM with walk-based graph kernel
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh...
IBPRIA
2009
Springer
15 years 5 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
104
Voted
ICMLA
2008
15 years 1 months ago
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
115
Voted
ISNN
2005
Springer
15 years 5 months ago
Content Based Retrieval and Classification of Cultural Relic Images
In this paper we present a novel system for content-based retrieval and classification of cultural relic images. First, the images are normalized to achieve rotation, translation a...
Na Wei, M. Emre Celebi, Guohua Geng
CAMP
2005
IEEE
15 years 6 months ago
Face Localization in Color Images with Complex Background
— In this paper we describe a two step algorithm which localizes faces in 2D color images depicting a single face on a complex background. Given a single image, the algorithm rou...
Paola Campadelli, Raffaella Lanzarotti, Giuseppe L...