Signal processing algorithms (SPA) play a key role in an imaging IR tracker which is widely used in infrared search and track (IRST) system. When being used to target detection, recognition and tracking, SPA has a significant influence on the performance of the IRST system. Due to the variety and complexity of field scenes and countermeasures, SPA should be robust enough for military use. The question arises as to how to measure and assess the performance of SPA efficiently and properly. On the other hand, the study on SPA performance evaluation will not only give an assessment to a specific algorithm, but also help the development of signal processing technology. In this paper we propose a way to set up an evaluating system in the SPA research laboratory and study the criteria for the evaluation.
Mining sequential patterns is an important topic in the data mining (DM) or knowledge discovery in database (KDD) research. At present, its research and application are mainly focused on analyzing transaction data of market. As the transaction database is very different from general relational database at the aspect of inner makeup, this paper makes relevant study and discussion on how to mine sequential patterns from general relational database. In this paper, a strategy based on time-window is adopted instead of general Apriori algorithm. At last, an algorithm based on time-window for mining sequential patterns (TW_SP) is put forward, and its correctness and validity is further proved by the experiment in a real relational database.
There has been work on database systems that can retrieve multimedia objects by their content. We are extending this work by using the World Wide Web as source and storage for multimedia objects much like current text search engines do for textual information. A system that can access all types of multimedia objects by their content is a formidable task and improvements are constantly being made to indexing techniques. We have taken an important first step in demonstrating the viability of this technique while laying the groundwork for a larger, more capable system. We have implemented a simple indexing scheme while concentrating on building the infrastructure to support this system. Our system can retrieve references to images on the WWW, index those images, and store those images using spatial access methods. We then use query by example to find a set of images on the WWW that resemble our query image. Due to its design, it is easy to include additional context features, to substitute different indexing schemes, and add other types of multimedia to our system like time sequences, voice and video.
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