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Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
TLDR
We introduce a new dimensionality reduction technique which we call Piecewise Aggregate Approximation (PAA) and demonstrate its superiority. Expand
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Relevance feedback: a power tool for interactive content-based image retrieval
TLDR
We introduce a relevance feedback based interactive retrieval approach to CBIR based on relevance feedback, which effectively takes into account the above two characteristics in CBIR. Expand
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Executing SQL over encrypted data in the database-service-provider model
TLDR
We explore techniques to execute SQL queries over encrypted data. Expand
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Locally adaptive dimensionality reduction for indexing large time series databases
TLDR
We introduce a new dimensionality reduction technique which we call Adaptive Piecewise Constant Approximation (APCA). Expand
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Content-based image retrieval with relevance feedback in MARS
TLDR
We propose an integration approach for content-based image retrieval of image and multimedia data using the term weighting and relevance feedback techniques developed in IP. Expand
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Providing database as a service
TLDR
We explore a novel paradigm for data management in which a third party service provider hosts "database as a service", providing its customers with seamless mechanisms to create, store, and access their databases at the host site. Expand
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Locally adaptive dimensionality reduction for indexing large time series databases
TLDR
We introduce a new dimensionality reduction technique, which we call Adaptive Piecewise Constant Approximation (APCA). Expand
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A Privacy-Preserving Index for Range Queries
TLDR
We analyze the worst-case scenario of inference attacks that can potentially lead to breach of privacy in database outsourcing scenarios where trust in the service provider is limited. Expand
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Adaptive key frame extraction using unsupervised clustering
TLDR
We present a clustering based approach for key frame extraction based on unsupervised clustering which is both e cient and e ective. Expand
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Constructing table-of-content for videos
TLDR
In this paper, we present an effective semantic-level ToC construction technique based on intelligent unsupervised clustering. Expand
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