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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 21 days 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
CVPR
2008
IEEE
14 years 9 months ago
Fusion of time-of-flight depth and stereo for high accuracy depth maps
Time-of-flight range sensors have error characteristics which are complementary to passive stereo. They provide real time depth estimates in conditions where passive stereo does n...
Jiejie Zhu, Liang Wang, Ruigang Yang, James Davis
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 9 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu
ICDE
2009
IEEE
151views Database» more  ICDE 2009»
14 years 9 months ago
Decision Trees for Uncertain Data
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
ICIP
2002
IEEE
14 years 9 months ago
Effects of channel delays on underflow events of compressed video over the Internet
This paper presents an extensive statistical study and analysis of the effects of channel delays in the current (best-effort) Internet on underflow events in MPEG-4 video streamin...
Dmitri Loguinov, Hayder Radha