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CAEPIA
2003
Springer
14 years 18 days ago
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
Alvaro Soto
SIGIR
2004
ACM
14 years 24 days ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
HCI
2007
13 years 8 months ago
Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces
Abstract. In this paper, we design an Attention Focus Kalman Filter (AFKF) a framework that offers interaction capabilities by constructing an eyemovement language, provides real-t...
Oleg Komogortsev, Javed I. Khan
ML
2006
ACM
132views Machine Learning» more  ML 2006»
13 years 7 months ago
A suffix tree approach to anti-spam email filtering
We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and...
Rajesh Pampapathi, Boris Mirkin, Mark Levene
MICCAI
2008
Springer
14 years 8 months ago
Impact of Rician Adapted Non-Local Means Filtering on HARDI
In this paper we study the impact of denoising the raw high angular resolution diffusion imaging (HARDI) data with the Non-Local Means filter adapted to Rician noise (NLMr). We fir...
Christian Barillot, Maxime Descoteaux, Nicolas Wie...