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PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
15 years 3 months ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...
MICCAI
2005
Springer
15 years 10 months ago
Optimal Embedding for Shape Indexing in Medical Image Databases
Fast retrieval using organ shapes is crucial in medical image databases since shape is a clinically prominent feature. In this paper, we propose that 2-D shapes in medical image da...
Xiaoning Qian, Hemant Tagare
TVLSI
1998
109views more  TVLSI 1998»
14 years 9 months ago
Power estimation of embedded systems: a hardware/software codesign approach
— The need for low-power embedded systems has become very significant within the microelectronics scenario in the most recent years. A power-driven methodology is mandatory duri...
William Fornaciari, Paolo Gubian, Donatella Sciuto...
CIBCB
2005
IEEE
15 years 3 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
INFOCOM
2010
IEEE
14 years 8 months ago
Resilient Routing for Sensor Networks Using Hyperbolic Embedding of Universal Covering Space
—We study how to characterize the families of paths between any two nodes s, t in a sensor network with holes. Two paths that can be deformed to one another through local changes...
Wei Zeng, Rik Sarkar, Feng Luo 0002, Xianfeng Gu, ...