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CVPR
2007
IEEE
16 years 6 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
ICPR
2002
IEEE
16 years 5 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
RECOMB
2004
Springer
16 years 4 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
140
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FMCAD
2007
Springer
15 years 10 months ago
Modeling Time-Triggered Protocols and Verifying Their Real-Time Schedules
Time-triggered systems are distributed systems in which the nodes are independently-clocked but maintain synchrony with one another. Time-triggered protocols depend on the synchro...
Lee Pike
PPOPP
2005
ACM
15 years 9 months ago
Scaling model checking of dataraces using dynamic information
Dataraces in multithreaded programs often indicate severe bugs and can cause unexpected behaviors when different thread interleavings are executed. Because dataraces are a cause f...
Ohad Shacham, Mooly Sagiv, Assaf Schuster