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» Hierarchical approaches to understanding consciousness
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PR
2008
124views more  PR 2008»
13 years 7 months ago
A daily behavior enabled hidden Markov model for human behavior understanding
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...
Pau-Choo Chung, Chin-De Liu
BPM
2009
Springer
175views Business» more  BPM 2009»
14 years 1 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
ICMLA
2004
13 years 8 months ago
Emergent representations and reasoning in adaptive agents
Classically, cognition assumes that the underlying mechanisms of thinking are based on symbol manipulation processes. This assumption has several drawbacks, such as the issue of w...
Joost Broekens, Doug DeGroot
IJDMMM
2010
128views more  IJDMMM 2010»
13 years 5 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
AAAI
2011
12 years 7 months ago
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation
This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation and mobile manipulation in semi-structured environ...
Stefanie Tellex, Thomas Kollar, Steven Dickerson, ...