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» Object Labelling from Human Action Recognition
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185
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CVPR
2009
IEEE
16 years 11 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
AMDO
2006
Springer
15 years 7 months ago
Boundary Fragment Matching and Articulated Pose Under Occlusion
Silhouette recognition can reconstruct the three-dimensional pose of a human subject in monocular video so long as the camera's view remains unoccluded by other objects. This ...
Nicholas R. Howe
ICASSP
2011
IEEE
14 years 7 months ago
Exploiting active-learning strategies for annotating prosodic events with limited labeled data
Many applications of spoken-language systems can benefit from having access to annotations of prosodic events. Unfortunately, obtaining human annotations of these events, even se...
Raul Fernandez, Bhuvana Ramabhadran
EXPERT
2010
145views more  EXPERT 2010»
15 years 1 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
FLAIRS
2010
15 years 6 months ago
Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc.
Intelligent software agents (agents) adhering to the action selection paradigm have only one primary task that they need accomplish at any given time: to choose their next action....
Ryan James McCall, Stan Franklin, David Friedlande...