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» Learning Classifiers from Semantically Heterogeneous Data
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CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
14 years 3 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
WWW
2010
ACM
14 years 1 months ago
Enabling entity-based aggregators for web 2.0 data
Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern time...
Ekaterini Ioannou, Claudia Niederée, Yannis...
ECCV
2010
Springer
14 years 2 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
MM
2006
ACM
157views Multimedia» more  MM 2006»
14 years 4 months ago
Player action recognition in broadcast tennis video with applications to semantic analysis of sports game
Recognition of player actions in broadcast sports video is a challenging task due to low resolution of the players in video frames. In this paper, we present a novel method to rec...
Guangyu Zhu, Changsheng Xu, Qingming Huang, Wen Ga...
CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 10 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...