Cluster Based Vector Attribute Filtering

Surface-Area-Based Attribute Filtering in 3D

Attribute filters are a subset of connected operators.Connected filters have the capacity to precisely identify and extract connected components in their entirety and without distorting their boundaries. This property, critical in many applications such as medical imaging, increases their popularity and makes them a suitable tool for problems in which accurate shape analysis is of importance. C...

Attribute-aware Collaborative Filtering

One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Recommender systems can be viewed as a way of reducing large information spaces and to personalize information access by providing recommendations for information items based on prior usage. Collaborative Filtering, the ...

Mitigating DDoS attacks with cluster-based filtering

Cluster-Based Adaptive and Batch Filtering

Information filtering is increasingly critical to knowledge workers drowning in a growing flood of byte streams [6, 8, 9]. Our interest in the filtering track for TREC-7 grew out of work originally designed for information retrieval on the Web, using both ‘traditional’ search engine [5] and agent-based techniques [6, 7]. In particular, the work by Cutter, et. al. in clustering [3, 4] has great ...

Median filtering-based pyramidal motion vector estimation

In this paper, a median filtering-based hierarchical motion vector estimation scheme making use of a pyramidal data structure is proposed. Compared to the conventional hierarchical motion vector estimation schemes, the proposed scheme overcomes the problem of propagation of false motion vectors across resolutions. Simulation studies show that the proposed scheme not only improves the prediction...