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ICCV
2011
IEEE
13 years 12 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
EMMCVPR
2011
Springer
13 years 11 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
PODC
2012
ACM
13 years 2 months ago
Weak models of distributed computing, with connections to modal logic
This work presents a classification of weak models of distributed computing. We focus on deterministic distributed algorithms, and we study models of computing that are weaker ve...
Lauri Hella, Matti Järvisalo, Antti Kuusisto,...
FUIN
2006
85views more  FUIN 2006»
14 years 11 months ago
Towards Integrated Verification of Timed Transition Models
Abstract. This paper describes an attempt to combine theorem proving and model-checking to formally verify real-time systems in a discrete time setting. The Timed Automata Modeling...
Mark Lawford, Vera Pantelic, Hong Zhang
FOCS
1999
IEEE
15 years 4 months ago
Learning Mixtures of Gaussians
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
Sanjoy Dasgupta