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COGSCI
2004
62views more  COGSCI 2004»
14 years 9 months ago
Using movement and intentions to understand simple events
In order to understand ongoing activity, observers segment it into meaningful temporal parts. Segmentation can be based on bottom-up processing of distinctive sensory characterist...
Jeffrey M. Zacks
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
14 years 11 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
15 years 3 months ago
Using case-based reasoning for autonomous vehicle guidance
— Vehicle guidance in complex scenarios such as inner-city traffic requires an in-depth understanding of the current situation. In order to select the appropriate behavior for a...
Stefan Vacek, Tobias Gindele, Johann Marius Zö...
GIS
2007
ACM
15 years 3 months ago
Predicting future locations using clusters' centroids
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
Sigal Elnekave, Mark Last, Oded Maimon
AVSS
2006
IEEE
15 years 3 months ago
Pedestrian Detection and Tracking for Counting Applications in Crowded Situations
This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stati...
Oliver Sidla, Yuriy Lypetskyy, Norbert Brändl...