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» Unsupervised Learning of Visual Feature Hierarchies
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CVPR
2010
IEEE
14 years 1 months ago
Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics
Classification of images in many category datasets has rapidly improved in recent years. However, systems that perform well on particular datasets typically have one or more lim...
Christopher Kanan, Garrison Cottrell
ICMCS
2006
IEEE
181views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Toward Intelligent Use of Semantic Information on Subspace Discovery for Image Retrieval
Image retrieval has been widely used in many fields of science and engineering. The semantic concept of user interest is obtained by a learning process. Traditional techniques oft...
Jie Yu, Qi Tian
CVPR
2007
IEEE
14 years 7 months ago
Robust Click-Point Linking: Matching Visually Dissimilar Local Regions
This paper presents robust click-point linking: a novel localized registration framework that allows users to interactively prescribe where the accuracy has to be high. By emphasi...
Kazunori Okada, Xiaolei Huang
ISVC
2010
Springer
13 years 3 months ago
Indented Pixel Tree Plots
We introduce Indented Pixel Tree Plots (IPTPs): a novel pixel-based visualization technique for depicting large hierarchies. It is inspired by the visual metaphor of indented outli...
Michael Burch, Michael Raschke, Daniel Weiskopf
VIP
2003
13 years 6 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin