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IUI
2009
ACM
16 years 3 months ago
Tagsplanations: explaining recommendations using tags
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improvi...
Jesse Vig, Shilad Sen, John Riedl

Publication
1763views
16 years 3 months ago
Reranking with Contextual dissimilarity measures from representational Bregman k-means
We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on con-textual dissimilarity measures. Our work revisit and extend the method of Perro...
Olivier Schwander, Frank Nielsen
MICCAI
2009
Springer
16 years 2 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
172
Voted
FOSSACS
2010
Springer
16 years 1 months ago
Retaining the Probabilities in Probabilistic Testing Theory
Abstract. This paper considers the probabilistic may/must testing theory for processes having external, internal, and probabilistic choices. We observe that the underlying testing ...
Sonja Georgievska, Suzana Andova
ACSAC
2009
IEEE
16 years 1 months ago
Modeling Modern Network Attacks and Countermeasures Using Attack Graphs
Abstract—By accurately measuring risk for enterprise networks, attack graphs allow network defenders to understand the most critical threats and select the most effective counter...
Kyle Ingols, Matthew Chu, Richard Lippmann, Seth E...
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