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JMLR
2012
11 years 11 months ago
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
J. Zico Kolter, Tommi Jaakkola
FOCS
2007
IEEE
14 years 3 months ago
Towards Sharp Inapproximability For Any 2-CSP
We continue the recent line of work on the connection between semidefinite programming-based approximation algorithms and the Unique Games Conjecture. Given any boolean 2-CSP (or...
Per Austrin
GLOBECOM
2006
IEEE
14 years 3 months ago
Connection Preemption in Multi-Class Networks
— We address the problem of connection preemption in a multi-class network environment. Our objective is: i) to minimize the number of preempted connections, and ii) to minimize ...
Fahad Rafique Dogar, Laeeq Aslam, Zartash Afzal Uz...
IPSN
2009
Springer
14 years 3 months ago
Approximating sensor network queries using in-network summaries
In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs a...
Alexandra Meliou, Carlos Guestrin, Joseph M. Helle...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 6 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...