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» Methods to Learn Abstract Scheduling Models
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KES
2007
Springer
13 years 8 months ago
Adapting robot kinematics for human-arm motion recognition
Abstract. This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. Contrary to...
Chee Seng Chan, Honghai Liu, David Brown
ECCV
2010
Springer
14 years 19 hour ago
Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification
Abstract. Much recent research in human activity recognition has focused on the problem of recognizing simple repetitive (walking, running, waving) and punctual actions (sitting up...
CAIP
2009
Springer
211views Image Analysis» more  CAIP 2009»
14 years 3 months ago
Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object Categorization
Abstract. Bag-of-words model (BOW) is inspired by the text classification problem, where a document is represented by an unsorted set of contained words. Analogously, in the objec...
Mehdi Mirza-Mohammadi, Sergio Escalera, Petia Rade...
AMR
2007
Springer
143views Multimedia» more  AMR 2007»
14 years 2 months ago
User Modelling for Interactive User-Adaptive Collection Structuring
Abstract. Automatic structuring is one means to ease access to document collections, be it for organization or for exploration. Of even greater help would be a presentation that ad...
Andreas Nürnberger, Sebastian Stober
PKDD
2010
Springer
148views Data Mining» more  PKDD 2010»
13 years 7 months ago
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
Abstract. A new method is proposed for compiling causal independencies into Markov logic networks (MLNs). An MLN can be viewed as compactly representing a factorization of a joint ...
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasa...