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NIPS
1998
15 years 7 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
JRTIP
2010
137views more  JRTIP 2010»
15 years 1 months ago
Cascaded online boosting
In this paper, we propose a cascaded version of the online boosting algorithm to speed-up the execution time and guarantee real-time performance even when employing a large number ...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
PR
2011
14 years 9 months ago
Generalized darting Monte Carlo
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Cristian Sminchisescu, Max Welling
ENTCS
2006
117views more  ENTCS 2006»
15 years 6 months ago
Distributed Graph Traversals by Relabelling Systems with Applications
Graph traversals are in the basis of many distributed algorithms. In this paper, we use graph relabelling systems to encode two basic graph traversals which are the broadcast and ...
Bilel Derbel, Mohamed Mosbah
CVIU
2007
108views more  CVIU 2007»
15 years 6 months ago
Multimodal human-computer interaction: A survey
Abstract. In this paper we review the major approaches to multimodal human computer interaction from a computer vision perspective. In particular, we focus on body, gesture, gaze, ...
Alejandro Jaimes, Nicu Sebe