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ECCV
2010
Springer
15 years 10 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
HICSS
2007
IEEE
122views Biometrics» more  HICSS 2007»
15 years 11 months ago
Learning Conversations in World of Warcraft
We examine learning culture in a popular online game, World of Warcraft. We analyze the way players learn this complex game through chat conversation with peers. We describe three...
Bonnie A. Nardi, Stella Ly, Justin Harris
ICMAS
1998
15 years 6 months ago
Multi-Machine Scheduling - A Multi-Agent Learning Approach
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Wilfried Brauer, Gerhard Weiß
SIGCOMM
2010
ACM
15 years 5 months ago
The case for active device drivers
We revisit the device-driver architecture supported by the majority of operating systems, where a driver is a passive object that does not have its own thread of control and is on...
Leonid Ryzhyk, Yanjin Zhu, Gernot Heiser
UAI
2004
15 years 6 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner