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JMLR
2012
11 years 10 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
ADMA
2010
Springer
314views Data Mining» more  ADMA 2010»
13 years 6 months ago
Best Clustering Configuration Metrics: Towards Multiagent Based Clustering
Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number o...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
ICIP
2009
IEEE
13 years 5 months ago
No-reference temporal quality metric for video impaired by frame freezing artefacts
This paper describes a no-reference temporal quality metric to model the impact of frame freezing impairments on perceived video quality. The proposed metric shows a high correlat...
Quan Huynh-Thu, Mohammed Ghanbari
STOC
2003
ACM
102views Algorithms» more  STOC 2003»
14 years 8 months ago
On metric ramsey-type phenomena
The main question studied in this article may be viewed as a nonlinear analogue of Dvoretzky's theorem in Banach space theory or as part of Ramsey theory in combinatorics. Gi...
Yair Bartal, Nathan Linial, Manor Mendel, Assaf Na...
SPIRE
2005
Springer
14 years 1 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez