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SOFSEM
2007
Springer
14 years 3 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
14 years 2 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»
13 years 9 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»
13 years 7 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»
13 years 7 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...