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» High dimensional reverse nearest neighbor queries
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MICAI
2005
Springer
15 years 3 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
15 years 1 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim
EDBT
2008
ACM
132views Database» more  EDBT 2008»
15 years 10 months ago
Indexing high-dimensional data in dual distance spaces: a symmetrical encoding approach
Due to the well-known dimensionality curse problem, search in a high-dimensional space is considered as a "hard" problem. In this paper, a novel symmetrical encoding-bas...
Yi Zhuang, Yueting Zhuang, Qing Li, Lei Chen 0002,...
MLDM
2009
Springer
15 years 4 months ago
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking
This paper describes recognition of emotions of an unkown person during natural walking. As gait data is redundant, high dimensional and variable, effective feature extraction is ...
Michelle Karg, Robert Jenke, Kolja Kühnlenz, ...
TMM
2002
115views more  TMM 2002»
14 years 9 months ago
Principles of schema design for multimedia databases
This paper presents the rudiments of a theory of schema design for databases containing high dimensional features of the type used for describing multimedia data. We introduce a mo...
Simone Santini, Amarnath Gupta