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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 6 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICML
2008
IEEE
16 years 2 months ago
A reproducing kernel Hilbert space framework for pairwise time series distances
A good distance measure for time series needs to properly incorporate the temporal structure, and should be applicable to sequences with unequal lengths. In this paper, we propose...
Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz ...
MODELS
2009
Springer
15 years 8 months ago
Dead or Alive: finding zombie features in the Linux kernel
Variability management in operating systems is an errorprone and tedious task. This is especially true for the Linux operating system, which provides a specialized tool called Kco...
Reinhard Tartler, Julio Sincero, Wolfgang Schr&oum...
PKDD
2009
Springer
135views Data Mining» more  PKDD 2009»
15 years 8 months ago
Syntactic Structural Kernels for Natural Language Interfaces to Databases
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...
Alessandra Giordani, Alessandro Moschitti
114
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IPPS
2008
IEEE
15 years 8 months ago
Build to order linear algebra kernels
—The performance bottleneck for many scientific applications is the cost of memory access inside linear algebra kernels. Tuning such kernels for memory efficiency is a complex ...
Jeremy G. Siek, Ian Karlin, Elizabeth R. Jessup