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» Hashing Methods for Temporal Data
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CVPR
2008
IEEE
14 years 9 months ago
Human action recognition using Local Spatio-Temporal Discriminant Embedding
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
Kui Jia, Dit-Yan Yeung
CNSR
2005
IEEE
100views Communications» more  CNSR 2005»
13 years 9 months ago
Malicious Behaviour in Content-Addressable Peer-to-Peer Networks
Distributed Hash Tables (DHTs) promise to manage huge sets of key-value pairs in a Peer-to-Peer manner. The Content-Addressable Network (CAN) is a prominent variant of DHT. A crit...
Thomas Reidemeister, Klemens Böhm, Paul A. S....
ICASSP
2010
IEEE
13 years 7 months ago
Searching with expectations
Handling large amounts of data, such as large image databases, requires the use of approximate nearest neighbor search techniques. Recently, Hamming embedding methods such as spec...
Harsimrat Sandhawalia, Herve Jegou
ICPR
2010
IEEE
13 years 10 months ago
Temporal Extension of Laplacian Eigenmaps for Unsupervised Dimensionality Reduction of Time Series
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
Michal Lewandowski, Jesus Martinez-Del-Rincon, Dim...
PVLDB
2010
86views more  PVLDB 2010»
13 years 6 months ago
Swarm: Mining Relaxed Temporal Moving Object Clusters
Recent improvements in positioning technology make massive moving object data widely available. One important analysis is to find the moving objects that travel together. Existin...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays