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» Comparing distributions and shapes using the kernel distance
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CSCW
2000
ACM
15 years 4 months ago
Distance, dependencies, and delay in a global collaboration
Collaborations over distance must contend with the loss of the rich, subtle interactions that co-located teams use to coordinate their work. Previous research has suggested that o...
James D. Herbsleb, Audris Mockus, Thomas A. Finhol...
142
Voted
BCBGC
2008
15 years 2 months ago
BMA - Boolean Matrices as Model for Motif Kernels
We introduce the data model BM, which specifies kernels of motifs by means of Boolean matrices. Different from position frequency matrices these only specify which bases can appea...
Jan Schröder, Manfred Schimmler, Heiko Schr&o...
102
Voted
SIGCSE
2010
ACM
186views Education» more  SIGCSE 2010»
15 years 7 months ago
Teaching operating systems using virtual appliances and distributed version control
Students learn more through hands-on project experience for computer science courses such as operating systems, but providing the infrastructure support for a large class to learn...
Oren Laadan, Jason Nieh, Nicolas Viennot
PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
15 years 6 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
95
Voted
CVPR
2006
IEEE
16 years 2 months ago
Tunable Kernels for Tracking
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The cl...
Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghla...