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JMLR
2012
13 years 3 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
BMCBI
2011
14 years 4 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
ICPR
2004
IEEE
16 years 1 months ago
Simple Calibration Without Metric Information Using an Isoceles Trapezoid
This paper addresses the problem of calibrating a pinhole camera from images of an isoceles trapezoid. Assuming a unit aspect ratio and zero skew, we introduce a novel and simple ...
Hassan Foroosh, Xiaochun Cao
84
Voted
DATE
2002
IEEE
104views Hardware» more  DATE 2002»
15 years 5 months ago
Closed-Form Crosstalk Noise Metrics for Physical Design Applications
In this paper we present efficient closed-form formulas to estimate capacitive coupling-induced crosstalk noise for distributed RC coupling trees. The efficiency of our approach...
Lauren Hui Chen, Malgorzata Marek-Sadowska
79
Voted
ICASSP
2010
IEEE
15 years 25 days ago
A H.264/AVC video database for the evaluation of quality metrics
This paper describes a publicly available database of subjective scores, relative to quality assessment of 156 video streams encoded with H.264/AVC and corrupted by simulating pac...
Francesca De Simone, Marco Tagliasacchi, Matteo Na...