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» Discovering Patterns of Change Types
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CVPR
2011
IEEE
13 years 2 months ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu
AIEDAM
2011
13 years 2 months ago
Discovering implicit constraints in design
In familiar design domains, expert designers are able to quickly focus on “good designs”, based on constraints they have learned while exploring the design space. This ability ...
Madan Mohan Dabbeeru, Amitabha Mukerjee
AIPR
2008
IEEE
14 years 1 months ago
Temporal structure methods for image-based change analysis
– This paper addresses the exploitation of massive numbers of image-derived change detections. We use the term “change analysis” to emphasize the intelligence value obtained ...
Ray Rimey, Dan Keefe
ICSM
2007
IEEE
14 years 1 months ago
Discovering Dynamic Developer Relationships from Software Version Histories by Time Series Segmentation
Time series analysis is a promising approach to discover temporal patterns from time stamped, numeric data. A novel approach to apply time series analysis to discern temporal info...
Harvey P. Siy, Parvathi Chundi, Daniel J. Rosenkra...
SSD
2005
Springer
173views Database» more  SSD 2005»
14 years 26 days ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras