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ECCV
2010
Springer
13 years 6 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
MOBISYS
2007
ACM
14 years 5 months ago
MobiUS: enable together-viewing video experience across two mobile devices
We envision a new better-together mobile application paradigm where multiple mobile devices are placed in a close proximity and study a specific together-viewing video application...
Guobin Shen, Yanlin Li, Yongguang Zhang
MOBICOM
2004
ACM
13 years 11 months ago
Power conservation and quality of surveillance in target tracking sensor networks
Target tracking is an important application of wireless sensor networks. In this application, the sensor nodes collectively monitor and track the movement of an event or target ob...
Chao Gui, Prasant Mohapatra
IPSN
2011
Springer
12 years 9 months ago
Duty-cycling buildings aggressively: The next frontier in HVAC control
Buildings are known to be the largest consumers of electricity in the United States, and often times the dominant energy consumer is the HVAC system. Despite this fact, in most bu...
Yuvraj Agarwal, Bharathan Balaji, Seemanta Dutta, ...
DAC
2008
ACM
14 years 7 months ago
Multithreaded simulation for synchronous dataflow graphs
Synchronous dataflow (SDF) has been successfully used in design tools for system-level simulation of wireless communication systems. Modern wireless communication standards involv...
Chia-Jui Hsu, José Luis Pino, Shuvra S. Bha...