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PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 2 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
ICASSP
2010
IEEE
13 years 9 months ago
Two-stage spectrum sensing for cognitive radios
We consider a two-stage sensing scheme for cognitive radios where coarse sensing based on energy detection is performed in the first stage and, if required, fine sensing based o...
Sina Maleki, Ashish Pandharipande, Geert Leus
LWA
2008
13 years 10 months ago
Towards Burst Detection for Non-Stationary Stream Data
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
Daniel Klan, Marcel Karnstedt, Christian Pöli...
ICMCS
2006
IEEE
93views Multimedia» more  ICMCS 2006»
14 years 2 months ago
A New Joint Source-Channel Modeling Approach for Adaptive FEC Code Rate Decision
We propose a joint source-channel modeling approach for adaptively determining the quality-optimal FEC code rate. Our objective is to obtain the optimal video quality in the recei...
Yo-Won Jeong, Jae Kwon, Jae-kyoon Kim, Kyu Ho Park
ICCV
2001
IEEE
14 years 10 months ago
Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination
We develop an efficient algorithm to track point features supported by image patches undergoing affine deformations and changes in illumination. The algorithm is based on a combin...
Hailin Jin, Paolo Favaro, Stefano Soatto