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» Hidden Markov Models with Multiple Observation Processes
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CONTEXT
2007
Springer
15 years 10 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
ICDAR
2009
IEEE
15 years 1 months ago
Handwritten Word Image Retrieval with Synthesized Typed Queries
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
José A. Rodríguez-Serrano, Florent P...
ICPR
2006
IEEE
16 years 5 months ago
Unusual Event Detection via Multi-camera Video Mining
This paper describes a framework for detecting unusual events in surveillance videos. Most surveillance systems consist of multiple video streams, but traditional event detection ...
Hanning Zhou, Don Kimber
CVPR
2006
IEEE
15 years 10 months ago
Combined Depth and Outlier Estimation in Multi-View Stereo
In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes:...
Christoph Strecha, Rik Fransens, Luc J. Van Gool
124
Voted
WSC
2008
15 years 6 months ago
Smooth flexible models of nonhomogeneous poisson processes using one or more process realizations
We develop and evaluate a semiparametric method to estimate the mean-value function of a nonhomogeneous Poisson process (NHPP) using one or more process realizations observed over...
Michael E. Kuhl, Shalaka C. Deo, James R. Wilson