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» Learning from Multiple Annotators with Gaussian Processes
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162
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ECCV
2006
Springer
15 years 5 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia
183
Voted
ECCV
2010
Springer
15 years 1 months ago
Supervised Label Transfer for Semantic Segmentation of Street Scenes
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
Honghui Zhang, Jianxiong Xiao, Long Quan
192
Voted
COMSIS
2011
14 years 7 months ago
Ontology-based multi-label classification of economic articles
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents can be annotated with multiple keywords (labels), we ...
Sergeja Vogrincic, Zoran Bosnic
JAIR
2008
164views more  JAIR 2008»
15 years 3 months ago
Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction
Gesture is a non-verbal modality that can contribute crucial information to the understanding of natural language. But not all gestures are informative, and non-communicative hand...
Jacob Eisenstein, Regina Barzilay, Randall Davis
EMNLP
2010
15 years 1 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...