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ICASSP
2010
IEEE
15 years 6 months ago
Visual localization and segmentation based on foreground/background modeling
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...
Hanzi Wang, Tat-Jun Chin, David Suter
WAW
2007
Springer
85views Algorithms» more  WAW 2007»
16 years 16 days ago
A Spatial Web Graph Model with Local Influence Regions
We present a new stochastic model for complex networks, based on a spatial embedding of the nodes, called the Spatial Preferred Attachment (SPA) model. In the SPA model, nodes have...
William Aiello, Anthony Bonato, C. Cooper, Jeannet...
SIGDIAL
2010
15 years 4 months ago
Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding
Incremental natural language understanding is the task of assigning semantic representations to successively larger prefixes of utterances. We compare two types of statistical mod...
Silvan Heintze, Timo Baumann, David Schlangen
ATAL
2009
Springer
16 years 1 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
ECCV
2010
Springer
15 years 11 months ago
Randomized Locality Sensitive Vocabularies for Bag-of-Features Model
Abstract. Visual vocabulary construction is an integral part of the popular Bag-of-Features (BOF) model. When visual data scale up (in terms of the dimensionality of features or/an...