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» Hilbert Space Embeddings and Metrics on Probability Measures
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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 14 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
JSYML
2010
107views more  JSYML 2010»
13 years 6 months ago
A proof of completeness for continuous first-order logic
Continuous first-order logic has found interest among model theorists who wish to extend the classical analysis of “algebraic” structures (such as fields, group, and graphs) ...
Arthur Paul Pedersen, Itay Ben-Yaacov
EPEW
2006
Springer
13 years 11 months ago
Model Checking for a Class of Performance Properties of Fluid Stochastic Models
Abstract. Recently, there is an explosive development of fluid approaches to computer and distributed systems. These approaches are inherently stochastic and generate continuous st...
Manuela L. Bujorianu, Marius C. Bujorianu
ICCV
2011
IEEE
12 years 7 months ago
The Power of Comparative Reasoning
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
Jay Yagnik, Dennis Strelow, David Ross, Ruei-sung ...
GLOBECOM
2007
IEEE
14 years 1 months ago
Volume Growth and General Rate Quantization on Grassmann Manifolds
—The Grassmann manifold Gn,p (L) is the set of all p-dimensional planes (through the origin) in the n-dimensional Euclidean space Ln , where L is either R or C. This paper consid...
Wei Dai, Brian Rider, Youjian Liu