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IDA
2007
Springer
13 years 7 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
REPLICATION
2010
13 years 6 months ago
A History of the Virtual Synchrony Replication Model
In this chapter, we discuss a widely used fault-tolerant data replication model called virtual synchrony. The model responds to two kinds of needs. First, there is the practical qu...
Ken Birman
ICCV
2011
IEEE
12 years 8 months ago
2D-3D Fusion for Layer Decomposition of Urban Facades
We present a method for fusing two acquisition modes, 2D photographs and 3D LiDAR scans, for depth-layer decomposition of urban facades. The two modes have complementary character...
Yangyan Li, Qian Zheng, Andrei Sharf, Daniel Cohen...
POPL
2009
ACM
14 years 8 months ago
Verifying distributed systems: the operational approach
This work develops an integrated approach to the verification of behaviourally rich programs, founded directly on operational semantics. The power of the approach is demonstrated ...
Tom Ridge
HPCA
2006
IEEE
14 years 8 months ago
Completely verifying memory consistency of test program executions
An important means of validating the design of commercial-grade shared memory multiprocessors is to run a large number of pseudo-random test programs on them. However, when intent...
Chaiyasit Manovit, Sudheendra Hangal