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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 10 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
143
Voted
ICCV
2009
IEEE
16 years 10 months ago
Is a detector only good for detection?
A common design of an object recognition system has two steps, a detection step followed by a foreground withinclass classification step. For example, consider face detection by...
Quan Yuan and Stan Sclaroff
CVPR
2007
IEEE
16 years 7 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
WISTP
2010
Springer
16 years 1 days ago
MoteAODV - An AODV Implementation for TinyOS 2.0
Reliable, inexpensive, on-the-fly networks can be established using mobile ad-hoc network (MANET) technology. Such networks can be used in a wide variety of scenarios ranging from...
Werner Backes, Jared Cordasco
119
Voted
ICMCS
2008
IEEE
115views Multimedia» more  ICMCS 2008»
15 years 11 months ago
On the biased estimation of nonlocal means filter
The recent Nonlocal Means filter (NLM) exhibits exciting performance for image or video denoising. However, the estimation of NLM is biased and tends to keep the value of noise. I...
Hao Xu, Jizheng Xu, Feng Wu