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SOFSEM
2007
Springer
15 years 5 months ago
Spatial Selection of Sparse Pivots for Similarity Search in Metric Spaces
Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, ca...
Oscar Pedreira, Nieves R. Brisaboa
SPIRE
2005
Springer
15 years 4 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
CLASSIFICATION
2008
68views more  CLASSIFICATION 2008»
14 years 11 months ago
The Metric Cutpoint Partition Problem
Let G = (V, E, w) be a graph with vertex and edge sets V and E, respectively, and w : E IR+ a function which assigns a positive weight or length to each edge of G. G is called a r...
Alain Hertz, Sacha Varone
IJCV
2010
158views more  IJCV 2010»
14 years 9 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
NOMS
2010
IEEE
251views Communications» more  NOMS 2010»
14 years 9 months ago
Online detection of utility cloud anomalies using metric distributions
—The online detection of anomalies is a vital element of operations in data centers and in utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with th...
Chengwei Wang, Vanish Talwar, Karsten Schwan, Part...