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PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
14 years 2 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
14 years 9 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»
13 years 8 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
14 years 2 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
13 years 7 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, ...