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Publication
200views
13 years 11 months ago
Learning Tags from Unsegmented Videos of Multiple Human Actions
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
Timothy Hospedales, Shaogang Gong, Tao Xiang
LREC
2010
166views Education» more  LREC 2010»
15 years 5 months ago
Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Alessandra Giordani, Alessandro Moschitti
ICCV
2011
IEEE
14 years 3 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
131
Voted
CVPR
2008
IEEE
16 years 6 months ago
Learning realistic human actions from movies
The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in...
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, Be...
BMCBI
2006
137views more  BMCBI 2006»
15 years 4 months ago
GOPET: A tool for automated predictions of Gene Ontology terms
Background: Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These method...
Arunachalam Vinayagam, Coral del Val, Falk Schuber...