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114
Voted
ACCV
2009
Springer
15 years 10 months ago
Human Action Recognition Using Spatio-temporal Classification
In this paper a framework “Temporal-Vector Trajectory Learning” (TVTL) for human action recognition is proposed. In this framework, the major concept is that we would like to a...
Chin-Hsien Fang, Ju-Chin Chen, Chien-Chung Tseng, ...
106
Voted
ROBOCUP
2004
Springer
106views Robotics» more  ROBOCUP 2004»
15 years 9 months ago
Predicting Opponent Actions by Observation
In competitive domains, the knowledge about the opponent can give players a clear advantage. This idea lead us in the past to propose an approach to acquire models of opponents, ba...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...
139
Voted
HAIS
2010
Springer
15 years 8 months ago
Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping
The recognition of manual actions, i.e., hand movements, hand postures and gestures, plays an important role in human-computer interaction, while belonging to a category of particu...
Marcel Martin, Jonathan Maycock, Florian Paul Schm...
127
Voted
AICOM
2008
146views more  AICOM 2008»
15 years 3 months ago
Domain action classification using a maximum entropy model in a schedule management domain
Since speaker's intentions can be represented into domain actions (pairs of domain-independent speech acts and domain-dependent concept sequences) in goal-oriented dialogues,...
Hyunjung Lee, Harksoo Kim, Jungyun Seo
117
Voted
ICML
2003
IEEE
16 years 4 months ago
Q-Decomposition for Reinforcement Learning Agents
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
Stuart J. Russell, Andrew Zimdars