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» A Hilbert Space Embedding for Distributions
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Publication
417views
14 years 4 months ago
Data Structures and Algorithms for Nearest Neighbor Search in General Metric Spaces
We consider the computational problem of finding nearest neighbors in general metric spaces. Of particular interest are spaces that may not be conveniently embedded or approximate...
Peter N. Yianilos
MLG
2007
Springer
14 years 1 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
CASES
2003
ACM
13 years 11 months ago
A hierarchical approach for energy efficient application design using heterogeneous embedded systems
Several features such as reconfiguration, voltage and frequency scaling, low-power operating states, duty-cycling, etc. are exploited for latency and energy efficient application ...
Sumit Mohanty, Viktor K. Prasanna
APPROX
2007
Springer
67views Algorithms» more  APPROX 2007»
14 years 1 months ago
Maximum Gradient Embeddings and Monotone Clustering
abstract Manor Mendel1 and Assaf Naor2 1 The Open University of Israel 2 Courant Institute Let (X, dX ) be an n-point metric space. We show that there exists a distribution D over ...
Manor Mendel, Assaf Naor
FTDCS
1999
IEEE
13 years 12 months ago
roomComputers-Bridging Spaces
Cooperative Rooms (COR) is an interdisciplinary research and development program of GMD in collaboration with partners. Its objective is to design, develop and investigate future ...
Rolf Reinema, Knut A. Bahr, H.-J. Burkhardt, Marie...