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ADBIS
2009
Springer
128views Database» more  ADBIS 2009»
15 years 6 months ago
Detecting Moving Objects in Noisy Radar Data Using a Relational Database
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
Andreas Behrend, Rainer Manthey, Gereon Schül...
SUTC
2008
IEEE
15 years 6 months ago
Effective Feature Space Reduction with Imbalanced Data for Semantic Concept Detection
Semantic understanding of multimedia content has become a very popular research topic in recent years. Semantic concept detection algorithms face many challenges such as the seman...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
PRL
2006
100views more  PRL 2006»
14 years 11 months ago
Application of LVQ to novelty detection using outlier training data
We propose to use learning vector quantization (LVQ) in novelty detection where a few outliers exist in training data. The codebook update of original LVQ is modified and the sche...
Hyoungjoo Lee, Sungzoon Cho
ISBI
2004
IEEE
16 years 18 days ago
Controling The False Positive Detection Rate In Fuzzy Clustering of fMRI Data
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
15 years 9 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...