Searching for authors named "Dimitrios Gunopulos" – sorted by Relevance.
74 documents found, showing 1 through 10.
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Efficient Local Flexible Nearest Neighbor Classification
- …The nearest neighbor technique is a simple and appealing method to address classification problems. It relies on the assumption of locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with a finite number of examples due to the curse of dimensionality.…
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An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets
- …We propose a locally adaptive technique to address the problem of setting the bandwidth parameters optimally for kernel density estimation. Our technique is efficient and can be performed in only two dataset passes. We also show how to apply our technique to efficiently solve range query appro…
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Exploiting Locality for Scalable Information Retrieval in Peer-to-Peer Networks
- …An important problem in unstructured peer-to-peer (P2P) networks is the efficient content-based retrieval of documents shared by other peers. However, existing searching mechanisms are not scaling well because they are either based on the idea of flooding the network with queries or because they req…
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Incremental Support Vector Machine Construction
- …SVMs suffer from the problem of large memory requirement and CPU time when trained in batch mode on large data sets. We overcome these limitations, and at the same time make SVMs suitable for learning with data streams, by constructing incremental learning algorithms.…
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Adaptive Nearest Neighbor Classification using Support Vector Machines
- … The nearest neighbor technique is a simple and appealing method to address classification problems. It relies on the assumption of locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with a finite number of examples due to the curse of dimensionality…
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Online Information Compression in Sensor Networks
- …Abstract-In the emerging area of wireless sensor networks, one of the most typical challenges is to retrieve historical information from the sensor nodes. Due to the resource limitation of sensor nodes (processing, memory, bandwidth, and energy), the collected information of sensor nodes has to be c…
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1 Introduction Fast Motion Capture Matching with Replicated Motion Editing
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Clustering Gene Expression Data in SQL Using Locally Adaptive Metrics
- …groups of data according to a certain similarity measure. Clustering suers from the curse of dimensionality. It is not meaningful to look for clusters in high dimensional spaces as the average density of points anywhere in input space is likely to be low. As a consequence, distance functions that eq…
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Handling Multimedia Objects in Peer-to-Peer Networks
- …Video-on-demand systems and services [4, 2] are predominantly offered over dedicated private networks with the help of large servers [3, 13]. Such systems are restricted by the number of concurrent accesses allowed as well as load balancing issues that ensue when the demand for video objects is skew…
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An Efficient Approximation Scheme for Data Mining Tasks
- …We investigate the use of biased sampling according to the density of the dataset, to speed up the operation of general data mining tasks, such as clustering and outlier detection in large multi-dimensional datasets. In density-biased sampling, the probability that a given point will be included in …
- Cited by 9 (0 self) – Add To MetaCart
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