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» Relevance Feedback Retrieval of Time Series Data
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MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 5 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
CSDA
2010
111views more  CSDA 2010»
14 years 11 months ago
Robust online signal extraction from multivariate time series
We introduce robust regression-based online filters for multivariate time series and discuss their performance in real time signal extraction settings. We focus on methods that ca...
Vivian Lanius, Ursula Gather
ICIP
2007
IEEE
15 years 6 months ago
Weighted Co-SVM for Image Retrieval with MVB Strategy
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
Xiaoyu Zhang, Jian Cheng, Hanqing Lu, Songde Ma
RIAO
2004
15 years 1 months ago
Retrieving what's relevant in audio and video: statistics and linguistics in combination
We present some of the technology developed at StreamSage for indexing and retrieving audio/video data. A primary difficulty of this task is precise extraction of the passages rel...
Anthony Davis, Philip Rennert, Robert Rubinoff, Ti...
SSDBM
2000
IEEE
128views Database» more  SSDBM 2000»
15 years 4 months ago
Supporting Content-Based Searches on Time Series via Approximation
Fast retrieval of time series in terms of their contents is important in many application domains. This paper studies database techniques supporting fast searches for time series ...
Changzhou Wang, Xiaoyang Sean Wang