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» A Linear Programming Approach for Multiple Object Tracking
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ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
INFOCOM
2005
IEEE
14 years 1 months ago
Asymptotically optimal transmission policies for low-power wireless sensor networks
— We consider wireless sensor networks with multiple gateways and multiple classes of traffic carrying data generated by different sensory inputs. The objective is to devise joi...
Ioannis Ch. Paschalidis, Wei Lai, David Starobinsk...
JMLR
2008
168views more  JMLR 2008»
13 years 7 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
WSC
2008
13 years 10 months ago
Optimizing portfolio tail measures: Asymptotics and efficient simulation optimization
We consider a portfolio allocation problem where the objective function is a tail event such as probability of large portfolio losses. The dependence between assets is captured th...
Sandeep Juneja
CASES
2006
ACM
14 years 1 months ago
A dynamic code placement technique for scratchpad memory using postpass optimization
In this paper, we propose a fully automatic dynamic scratchpad memory (SPM) management technique for instructions. Our technique loads required code segments into the SPM on deman...
Bernhard Egger, Chihun Kim, Choonki Jang, Yoonsung...