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922views
15 years 5 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
TITB
2008
117views more  TITB 2008»
13 years 10 months ago
Image-Based Gating of Intravascular Ultrasound Pullback Sequences
Intravascularultrasound (IVUS) sequences recorded in vivo are subject to a wide array of motion artifacts as the majority of these studies are performed within the coronary arterie...
Sean M. O'Malley, J. F. Granada, Stephane G. Carli...
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
15 years 3 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
SMI
2005
IEEE
154views Image Analysis» more  SMI 2005»
14 years 3 months ago
Feature Sensitive Mesh Segmentation with Mean Shift
Feature sensitive mesh segmentation is important for many computer graphics and geometric modeling applications. In this paper, we develop a mesh segmentation method which is capa...
Hitoshi Yamauchi, Seungyong Lee, Yunjin Lee, Yutak...
CVPR
2012
IEEE
12 years 21 days ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee