Diversity based relevance feedback for time series search
نویسندگان
چکیده
منابع مشابه
Diversity based Relevance Feedback for Time Series Search
We propose a diversity based relevance feedback approach for time series data to improve the accuracy of search results. We first develop the concept of relevance feedback for time series based on dual-tree complex wavelet (CWT) and SAX based approaches. We aim to enhance the search quality by incorporating diversity in the results presented to the user for feedback. We then propose a method wh...
متن کاملRelevance Feedback in Content-based Image Search
Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful technique in CBIR and has been an active research topic for the past few years. In this paper, we review the current state-of-the-art of research on relevance feedbacks for CBIR and present the iFind system developed at...
متن کاملTopical Diversity and Relevance Feedback
We describe the participation of the University of Amsterdam’s Intelligent Systems Lab in the relevance feedback track at TREC 2009. Our main conclusion for the relevance feedback track is that a topical diversity approach provides good feedback documents. Further, we find that our relevance feedback algorithm seems to help most when there are sufficient relevant documents available.
متن کاملMultimedia Retrieval Using Time Series Representation and Relevance Feedback
Multimedia data is ubiquitous and is involved in almost every aspect of our lives. Likewise, much of the world’s data is in the form of time series, and as will be shown, many other types of data, such as video, image, and handwriting, can be transformed into time series. This fact has fueled enormous interest in time series retrieval in the database and data mining community. However, much of ...
متن کاملNearest Neighbor Search for Relevance Feedback
We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback learning is a popular scheme used in content based image and video retrieval to support high-level concept queries. This paper addresses those scenarios in which a similarity or distance matrix is updated during each ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2013
ISSN: 2150-8097
DOI: 10.14778/2732228.2732230