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ICCV
2005
IEEE
16 years 6 months ago
Learning Object Categories from Google's Image Search
Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can...
Robert Fergus, Fei-Fei Li 0002, Pietro Perona, And...
ISIPTA
2003
IEEE
126views Mathematics» more  ISIPTA 2003»
15 years 10 months ago
Robust Estimators under the Imprecise Dirichlet Model
Walley’s Imprecise Dirichlet Model (IDM) for categorical data overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in prac...
Marcus Hutter
CMSB
2006
Springer
15 years 8 months ago
Stronger Computational Modelling of Signalling Pathways Using Both Continuous and Discrete-State Methods
Abstract. Starting from a biochemical signalling pathway model expressed in a process algebra enriched with quantitative information we automatically derive both continuous-space a...
Muffy Calder, Adam Duguid, Stephen Gilmore, Jane H...
IDA
2011
Springer
14 years 11 months ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...
FLAIRS
2006
15 years 6 months ago
Constructing a Corpus-based Ontology Using Model Bias
Recent work in lexical resource construction has recognized the importance of contextualizing the knowledge in existing resources and ontologies with information derived from text...
Anna Rumshisky, Patrick Hanks, Catherine Havasi, J...