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96
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SGAI
2007
Springer
15 years 6 months ago
Learning Sets of Sub-Models for Spatio-Temporal Prediction
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
Andrew Bennett, Derek R. Magee
WIDM
2003
ACM
15 years 5 months ago
XVerter: querying XML data with OR-DBMS
Storage techniques and queries over XML databases are being widely studied. Most works store XML documents in traditional DBMSs in order to take advantage of a well established te...
Humberto Vieira, Gabriela Ruberg, Marta Mattoso
ICML
2007
IEEE
16 years 1 months ago
Non-isometric manifold learning: analysis and an algorithm
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
Piotr Dollár, Serge J. Belongie, Vincent Ra...
97
Voted
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 10 months ago
Analyzing Abnormal Events from Spatio-temporal Trajectories
Advances in RFID based sensor technologies has been used in applications which requires the tracking of assets, products and individuals. The recording of such movements is capture...
Dhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong-Li L...
NIPS
2001
15 years 2 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...