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ICTAI
2009
IEEE
14 years 2 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
INFOCOM
2005
IEEE
14 years 29 days ago
Optimal fixed and scalable energy management for wireless networks
— In many devices, wireless network interfaces consume upwards of 30% of scarce portable system energy. Extending the system lifetime by minimizing communication power consumptio...
Rahul Mangharam, Ragunathan Rajkumar, Sofie Pollin...
CRV
2007
IEEE
101views Robotics» more  CRV 2007»
13 years 11 months ago
Energy Efficient Robot Rendezvous
We examine the problem of finding a single meeting location for a group of heterogeneous autonomous mobile robots, such that the total system cost of traveling to the rendezvous i...
Pawel Zebrowski, Yaroslav Litus, Richard T. Vaugha...
ISSS
1999
IEEE
125views Hardware» more  ISSS 1999»
13 years 11 months ago
Real-Time Task Scheduling for a Variable Voltage Processor
This paper presents a real-time task scheduling technique with a variable voltage processor which can vary its supply voltage dynamically. Using such a processor, running tasks wi...
Takanori Okuma, Tohru Ishihara, Hiroto Yasuura
ICCV
2011
IEEE
12 years 7 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis