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Learning and inferring transportation routines
Efficiently Scaling up Crowdsourced Video Annotation
- Carl Vondrick, Donald J. Patterson, D. Ramanan
- Computer ScienceInternational Journal of Computer Vision
- 5 September 2012
It is argued that video annotation requires specialized skill; most workers are poor annotators, mandating robust quality control protocols and an inherent trade-off between the mix of human and cloud computing used vs. the accuracy and cost of the labeling.
Fine-grained activity recognition by aggregating abstract object usage
- Donald J. Patterson, D. Fox, Henry A. Kautz, Matthai Philipose
- Computer ScienceNinth IEEE International Symposium on Wearable…
- 18 October 2005
A sequence of increasingly powerful probabilistic graphical models for activity recognition are presented that can reason tractably about aggregated object instances and gracefully generalizes from object instances to their classes by using abstraction smoothing.
Inferring High-Level Behavior from Low-Level Sensors
A method of learning a Bayesian model of a traveler moving through an urban environment that simultaneously learns a unified model of the traveler’s current mode of transportation as well as his most likely route, in an unsupervised manner is presented.
Inferring activities from interactions with objects
The key observation is that the sequence of objects a person uses while performing an ADL robustly characterizes both the ADL's identity and the quality of its execution.
Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services
An automated transportation routing system that uses a novel inference engine that does not require users to explicitly provide information about the start or ending points of their journeys; instead this information is learned from users’ past behavior is learned.
Mining models of human activities from the web
A new class of sensors, based on Radio Frequency Identification (RFID) tags, can directly yield semantic terms that describe the state of the physical world, and is shown how to mine definitions of activities in an unsupervised manner from the web.
Auto-Walksat: A Self-Tuning Implementation of Walksat
Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
This work has created a public framework for dividing the work of labeling video data into micro-tasks that can be completed by huge labor pools available through crowdsourced marketplaces and leverages more sophisticated interpolation between key frames to maximize performance given a budget.
Collapse informatics: augmenting the sustainability & ICT4D discourse in HCI
The notion of collapse informatics is introduced---the study, design, and development of sociotechnical systems in the abundant present for use in a future of scarcity---as a complement to ICT4D and mitigation-oriented sustainable HCI.