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139
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TMM
2010
135views Management» more  TMM 2010»
14 years 9 months ago
Image Classification With Kernelized Spatial-Context
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
136
Voted
BROADNETS
2004
IEEE
15 years 6 months ago
The Effects of the Sub-Carrier Grouping on Multi-Carrier Channel Aware Scheduling
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...
Fanchun Jin, Gokhan Sahin, Amrinder Arora, Hyeong-...
154
Voted
ECCV
2002
Springer
16 years 4 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
113
Voted
CVPR
2010
IEEE
15 years 10 months ago
On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape
This paper presents a sparse representation of 2D planar shape through the composition of warping functions, termed formlets, localized in scale and space. Each formlet subjects t...
Timothy Oleskiw, James Elder, Gabriel Peyr
134
Voted
CVPR
2008
IEEE
15 years 9 months ago
Learning a geometry integrated image appearance manifold from a small training set
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
Yilei Xu, Amit K. Roy Chowdhury