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ICML
2004
IEEE
15 years 10 months ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
SIGSOFT
2004
ACM
15 years 10 months ago
Variability management with feature-oriented programming and aspects
This paper presents an analysis of feature-oriented and aspectoriented modularization approaches with respect to variability management as needed in the context of system families...
Mira Mezini, Klaus Ostermann
160
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3DIM
2003
IEEE
15 years 10 months ago
Adaptive Enhancement of 3D Scenes using Hierarchical Registration of Texture-Mapped 3D models
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
Srikumar Ramalingam, Suresh K. Lodha
HIPC
2003
Springer
15 years 10 months ago
Thread Migration/Checkpointing for Type-Unsafe C Programs
Thread migration/checkpointing is becoming indispensable for load balancing and fault tolerance in high performance computing applications, and its success depends on the migration...
Hai Jiang, Vipin Chaudhary
APN
2010
Springer
15 years 9 months ago
Factorization Properties of Symbolic Unfoldings of Colored Petri Nets
The unfolding technique is an efficient tool to explore the runs of a Petri net in a true concurrency semantics, i.e. without constructing all the interleavings of concurrent actio...
Thomas Chatain, Eric Fabre