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» Local Versus Global Properties of Metric Spaces
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DAGM
2011
Springer
12 years 7 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
ICCV
2005
IEEE
14 years 1 months ago
Learning Effective Image Metrics from Few Pairwise Examples
We present a new approach to learning image metrics. The main advantage of our method lies in a formulation that requires only a few pairwise examples. Apparently, based on the li...
Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh
DGCI
2000
Springer
13 years 12 months ago
Digital Jordan Curve Theorems
The importance of digital geometry in image processing is well documented. To understand global properties of digital spaces and manifolds we need a solid understanding of local pr...
Christer O. Kiselman
MCSS
2006
Springer
13 years 7 months ago
Global complete observability and output-to-state stability imply the existence of a globally convergent observer
In this paper we consider systems which are globally completly observable and output-to-state stable. The former property guarantees the existence of coordinates such that the dyna...
Alessandro Astolfi, Laurent Praly
ISCAS
2005
IEEE
113views Hardware» more  ISCAS 2005»
14 years 1 months ago
Effect of traffic localization on energy dissipation in NoC-based interconnect
Multiprocessor system-on-chip (MP-SoC) platforms are emerging as an important trend of SoC design. Scaleable communication-centric interconnect fabrics such as networks-onchip (No...
Partha Pratim Pande, Cristian Grecu, Michael Jones...