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PR
2010
156views more  PR 2010»
13 years 7 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
ISBI
2006
IEEE
14 years 3 months ago
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation
— We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent...
Adrian Peter, Anand Rangarajan
ISCAS
2006
IEEE
85views Hardware» more  ISCAS 2006»
14 years 3 months ago
Effective tunneling capacitance: a new metric to quantify transient gate leakage current
— In this paper we propose a new metric called “effective tunneling capacitance” (Ct eff ) to quantify the transient swing in the gate leakage (gate oxide tunneling) current ...
Elias Kougianos, Saraju P. Mohanty
DAC
2007
ACM
14 years 10 months ago
Optimization of Area in Digital FIR Filters using Gate-Level Metrics
In the paper, we propose a new metric for the minimization of area in the generic problem of multiple constant multiplications, and demonstrate its effectiveness for digital FIR f...
Eduardo A. C. da Costa, José C. Monteiro, L...
IROS
2008
IEEE
119views Robotics» more  IROS 2008»
14 years 3 months ago
A relative information metric for vehicle following systems
— Vehicle following can be achieved by minimizing the relative information (Kullback-Leibler or K-L distance), between the estimated poses of leader and follower vehicles by form...
Teck Chew Ng, Martin David Adams, Javier Ibanez Gu...