Zensors: Adaptive, Rapidly Deployable, Human-Intelligent Sensor Feeds Gierad Laput1 Walter S. Lasecki2 Jason Wiese1 Robert Xiao1 Jeffrey P. Bigham1 Chris Harrison1 1 HCI Institute, Carnegie Mellon University

Source URL: chrisharrison.net

• Sensors
• Transducers
• Activity recognition
• Cognition
• Kinect
• Sensor
• Sensor fusion
• Dexter Industries
• Artificial intelligence
• Technology
• Science

The assembly of functional neuronal circuits during development relies on an intricate interplay of cellular interactions, molecular recognition signals, and neuronal activity-dependent processes. We will discuss recent

Source URL: wpi-iiis.tsukuba.ac.jp

Microsoft Word - biometric-identification-v13

Source URL: www.cis.fordham.edu

• Biometrics
• Access control
• Authentication
• Notary
• Packaging
• Accelerometer
• Gait analysis
• Internet privacy
• Activity recognition
• Medicine
• Security
• Science

© 2002 Murray Turoff and Harold A. Linstone II.A. Introduction HAROLD A. LINSTONE and MURRAY TUROFF Any human endeavor which seeks recognition as a professional or scientific activity must clearly define the axioms upo

Source URL: is.njit.edu

• Technology forecasting
• Time
• Future
• Delphi method
• Estimation theory
• Futurology
• Harold A. Linstone
• Delphi
• Nicholas Rescher
• Delphi programming language
• Software
• Anticipatory thinking

Chapter 2 Research Challenges in Ubiquitous Knowledge Discovery Michael May, Bettina Berendt, Antoine Cornu´ ejols, J˜ oao Gama,

Source URL: www.lri.fr

• Science
• Distance education
• Ubiquitous computing
• Concept drift
• Data stream mining
• Ambient intelligence
• Activity recognition
• E-learning
• Machine learning
• Education
• Data mining
• Artificial intelligence

Transfer Learning for Activity Recognition via Sensor Mapping

Source URL: www.cse.ust.hk

• Activity recognition
• Cognition
• Learning
• Supervised learning
• Algorithm
• Reinforcement learning
• Wireless sensor network
• Hidden Markov model
• Markov models
• Artificial intelligence
• Science

Real World Activity Recognition with Multiple Goals Derek Hao Hu, Sinno Jialin Pan, Vincent Wenchen Zheng, Nathan Nan Liu, Qiang Yang Department of Computer Science and Engineering Hong Kong University of Science and Tec

Source URL: www.cse.ust.hk

• Mind
• Activity recognition
• Estimation theory
• Maximum likelihood
• Interleaving
• Motivation
• Information extraction
• Algorithm
• Machine learning
• Cognition
• Science
• Artificial intelligence

Cross-Domain Activity Recognition Vincent Wenchen Zheng, Derek Hao Hu, Qiang Yang Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong {vince

Source URL: www.cse.ust.hk

• Artificial intelligence
• Machine learning
• Computational linguistics
• Information extraction
• Domain
• Support vector machine
• Supervised learning
• N-gram
• Function
• Mathematics
• Natural language processing
• Science

Abnormal Activity Recognition based on HDP-HMM Models

Source URL: www.cse.ust.hk

• Artificial intelligence
• Science
• Bioinformatics
• Hidden Markov model
• Statistical models
• Activity recognition
• Fisher kernel
• Support vector machine
• Generative model
• Statistics
• Machine learning
• Statistical classification

CIGAR: Concurrent and Interleaving Goal and Activity Recognition

Source URL: www.cse.ust.hk

• Machine learning
• Estimation theory
• Theoretical computer science
• Activity recognition
• Conditional random field
• Maximum likelihood
• Hidden Markov model
• Information extraction
• Likelihood function
• Statistics
• Graphical models
• Bayesian statistics