Technical Reports (Computing Science)
Technical Reports Collection
Items in this Collection
- 14Nascimento, Mario
- 7Oliveira, Stanley
- 5Zaiane, Osmar
- 2Chitkara, Vishal
- 2Coman, Alexandru
- 2Falcao, Alexandre
- 8Database Systems
- 2Color histograms
- 2Color-based image retrieval
- 2Communication Networks
- 2Content-based image retrieval
- 2Sensor networks
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2009
Malhotra, Baljeet, Nikolaidis, Ioanis, Nascimento, Mario
Technical report TR09-14. We consider the problem of aggregation convergecast scheduling in wireless sensor networks. Aggregation convergecast differs from regular convergecast in that it accommodates transmission dependencies that allow in-network aggregation to be performed. We formulate the...
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2002
Rafiei, Davood, Oliveira, Stanley
Technical report TR02-11. Various query languages have been proposed for XML, some inspired by database query languages (e.g. SQL and OQL) and others introduced by documents community. To fulfill its role of a standardization body,W3C has identified a number of requirements for XML query...
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2005
Nascimento, Mario, Sander, Joerg, Coman, Alexandru
Technical report TR05-23. Wireless sensor networks are made of autonomous devices that are able to collect information, store it, process it and share it with other devices. Such framework can be used to efficiently query spatiotemporal data, e.g., for monitoring humidity and temperature levels...
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2004
Oliveira, Stanley, Zaiane, Osmar
Technical report TR04-17. Preserving privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying attribute values subjected to clustering without jeopardizing the similarity between data objects under analysis. To address this...
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Content-Based Image Retrieval Using Binary Signatures
2000
Nascimento, Mario, Chitkara, Vishal, Mastaller, Curt
Technical report TR00-18. Significant research has focused on determining efficient methodologies for retrieving images in large image databases. In this paper, we propose two variations of a new image abstraction technique based on signature bit-strings and an appropriate similarity metric. The...
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An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
Download2001
Stehling, Renato, Falcao, Alexandre, Nascimento, Mario
Technical report TR01-03. In this paper, we present a new Content-Based Image Retrieval (CBIR) approach which is based on cluster analysis. A distinguishing aspect of CBIR is that it relies on a visual content representation (metadata) of the images. In order to produce such metadata, we propose...
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2002
Oliveira, Stanley, Zaiane, Osmar
Technical report TR02-13. Discovering hidden patterns from large amounts of data plays an important role in marketing, business, medical analysis, and other applications where these patterns are paramount for strategic decision making. However, recent research has shown that some discovered...
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A Unified Framework for Searching Multiple Compressed Collections
2001
Nascimento, Mario, Oliveira, Stanley
Technical report TR01-17. In this work, we propose a new framework for searching directly through multiple compressed collections. We combine, in a single framework, four techniques for efficient, low-overhead text retrieval: inverted index compression, block addressing, sequential searching in...
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2003
Oliveira, Stanley, Zaiane, Osmar
Technical report TR03-12. Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security, intellectual property rights, and many others. In this paper, we address the privacy problem...
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2008
Nikolaidis, Ioanis, Nascimento, Mario, Malhotra, Baljeet
Technical report TR08-02. We consider the problem of vehicle classification using acoustic signals captured within a sensor network. The sensors perform collaborative decision and/or data fusion in a distributed and energy efficient manner. We present a distributed cluster-based algorithm,...