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CVPR
2004
IEEE
15 years 11 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
75
Voted
DAGSTUHL
2006
14 years 11 months ago
Efficient Software Model Checking of Data Structure Properties
This paper presents novel language and analysis techniques that significantly speed up software model checking of data structure properties. Consider checking a red-black tree imp...
Chandrasekhar Boyapati, Paul T. Darga
COLT
2010
Springer
14 years 7 months ago
Characterization of Linkage-based Clustering
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
Margareta Ackerman, Shai Ben-David, David Loker
NIPS
1998
14 years 11 months ago
Multi-Electrode Spike Sorting by Clustering Transfer Functions
A new paradigm is proposed for sorting spikes in multi-electrode data using ratios of transfer functions between cells and electrodes. It is assumed that for every cell and electr...
Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby
79
Voted
DAC
1994
ACM
15 years 1 months ago
Dynamic Search-Space Pruning Techniques in Path Sensitization
A powerful combinational path sensitization engine is required for the efficient implementation of tools for test pattern generation, timing analysis, and delay fault testing. Path...
João P. Marques Silva, Karem A. Sakallah