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ICML
2006
IEEE
16 years 4 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
137
Voted
PERCOM
2005
ACM
16 years 3 months ago
Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples
WLAN location estimation based on 802.11 signal strength is becoming increasingly prevalent in today's pervasive computing applications. As alternative to the wellestablished...
Xiaoyong Chai, Qiang Yang
129
Voted
CVPR
2010
IEEE
16 years 12 days ago
Scale-Invariant heat kernel signatures for non-rigid shape recognition
One of the biggest challenges in non-rigid shape retrieval and comparison is the design of a shape descriptor that would maintain invariance under a wide class of transformations ...
Michael Bronstein, Iasonas Kokkinos
IEEEARES
2009
IEEE
15 years 10 months ago
Perfect Failure Detection in the Partitioned Synchronous Distributed System Model
—In this paper we show that it is possible to implement a perfect failure detector P (one that detects all faulty processes if and only if those processes failed) in a non-synchr...
Raimundo José de Araújo Macêdo...
142
Voted
CIKM
2009
Springer
15 years 10 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang