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» A New Discriminative Kernel From Probabilistic Models
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PRL
2008
161views more  PRL 2008»
14 years 11 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
CVPR
2010
IEEE
15 years 5 months ago
Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-seng chu...
CSL
2010
Springer
14 years 12 months ago
Randomisation and Derandomisation in Descriptive Complexity Theory
We study probabilistic complexity classes and questions of derandomisation from a logical point of view. For each logic L we introduce a new logic BPL, bounded error probabilistic ...
Kord Eickmeyer, Martin Grohe
ICNP
2007
IEEE
15 years 6 months ago
A Probabilistic Coverage Protocol for Wireless Sensor Networks
—We propose a new probabilistic coverage protocol (denoted by PCP) that considers probabilistic sensing models. PCP is fairly general and can be used with different sensing model...
Mohamed Hefeeda, Hossein Ahmadi
WSDM
2010
ACM
213views Data Mining» more  WSDM 2010»
15 years 9 months ago
Corroborating Information from Disagreeing Views
We consider a set of views stating possibly conflicting facts. Negative facts in the views may come, e.g., from functional dependencies in the underlying database schema. We want ...
Alban Galland, Serge Abiteboul, Amélie Mari...