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» An Instance Selection Approach to Multiple Instance Learning
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CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 4 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
CVPR
2007
IEEE
15 years 12 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
CVPR
2006
IEEE
15 years 4 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
ETRA
2010
ACM
169views Biometrics» more  ETRA 2010»
15 years 4 months ago
Eye and pointer coordination in search and selection tasks
Selecting a graphical item by pointing with a computer mouse is a ubiquitous task in many graphical user interfaces. Several techniques have been suggested to facilitate this task...
Hans-Joachim Bieg, Lewis L. Chuang, Roland W. Flem...
ICDCS
2012
IEEE
13 years 8 days ago
Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing
—Cloud resources are usually priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three pricing schemes — the su...
Wei Wang, Baochun Li, Ben Liang