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» A novel framework to elucidate core classes in a dataset
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ISM
2008
IEEE
156views Multimedia» more  ISM 2008»
14 years 19 days ago
Correlation-Based Video Semantic Concept Detection Using Multiple Correspondence Analysis
Semantic concept detection has emerged as an intriguing topic in multimedia research recently. The ability to interpret high-level semantics from low-level features has been the l...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
BMVC
2010
13 years 4 months ago
Discriminative Topics Modelling for Action Feature Selection and Recognition
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...
ESANN
2008
13 years 7 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
SIGMOD
2004
ACM
100views Database» more  SIGMOD 2004»
14 years 6 months ago
Cost-Based Labeling of Groups of Mass Spectra
We make two main contributions in this paper. First, we motivate and introduce a novel class of data mining problems that arise in labeling a group of mass spectra, specifically f...
Lei Chen 0003, Zheng Huang, Raghu Ramakrishnan
ISVC
2007
Springer
14 years 11 days ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...