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» A Kernel Approach to Comparing Distributions
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ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
14 years 29 days ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
IPTPS
2004
Springer
14 years 22 days ago
Comparing the Performance of Distributed Hash Tables Under Churn
A protocol for a distributed hash table (DHT) incurs communication costs to keep up with churn—changes in membership—in order to maintain its ability to route lookups efficie...
Jinyang Li, Jeremy Stribling, Thomer M. Gil, Rober...
DAGM
2008
Springer
13 years 9 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko
LREC
2010
209views Education» more  LREC 2010»
13 years 8 months ago
Comparing Computational Models of Selectional Preferences - Second-order Co-Occurrence vs. Latent Semantic Clusters
This paper presents a comparison of three computational approaches to selectional preferences: (i) an intuitive distributional approach that uses second-order co-occurrence of pre...
Sabine Schulte im Walde
SMI
2010
IEEE
165views Image Analysis» more  SMI 2010»
13 years 5 months ago
Designing a Topological Modeler Kernel: A Rule-Based Approach
In this article, we present a rule-based language dedicated to topological operations, based on graph transformations. Generalized maps are described as a particular class of graph...
Thomas Bellet, Mathieu Poudret, Agnès Arnou...