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» A Generalization of Proximity Functions for K-Means
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SIAMJO
2002
92views more  SIAMJO 2002»
13 years 5 months ago
Generalized Bundle Methods
We study a class of generalized bundle methods for which the stabilizing term can be any closed convex function satisfying certain properties. This setting covers several algorithm...
Antonio Frangioni
SPIRE
2005
Springer
13 years 11 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
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
13 years 11 months ago
Proximity Queries between Convex Objects: an Interior Point Approach for Implicit Surfaces
— This paper presents an interior point approach to exact distance computation between convex objects represented as intersections of implicit surfaces. Exact distance computatio...
Nilanjan Chakraborty, Jufeng Peng, Srinivas Akella...
IPSN
2007
Springer
13 years 11 months ago
Tracking multiple targets using binary proximity sensors
Recent work has shown that, despite the minimal information provided by a binary proximity sensor, a network of such sensors can provide remarkably good target tracking performanc...
Jaspreet Singh, Upamanyu Madhow, Rajesh Kumar 0003...
CVPR
2011
IEEE
12 years 9 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh