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ECCV
2002
Springer
16 years 9 months ago
Probabilistic Search for Object Segmentation and Recognition
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
Ulrich Hillenbrand, Gerd Hirzinger
ICIP
2004
IEEE
16 years 8 months ago
A probabilistic framework for object recognition in video
We propose a solution to the problem of object recognition given a continuous video sequence containing multiple views of an object. Initially, object models are acquired from ima...
Omar Javed, Mubarak Shah, Dorin Comaniciu
DBPL
1993
Springer
95views Database» more  DBPL 1993»
15 years 11 months ago
A Moose and a Fox Can Aid Scientists with Data Management Problems
Fox Finding Objects of eXperiments is the declarative query language for Moose Modeling Objects Of Scienti c Experiments, an object-oriented data model at the core of a scient...
Janet L. Wiener, Yannis E. Ioannidis
TASLP
2010
109views more  TASLP 2010»
15 years 1 months ago
Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle
Abstract--A new method for the estimation of multiple concurrent pitches in piano recordings is presented. It addresses the issue of overlapping overtones by modeling the spectral ...
Valentin Emiya, Roland Badeau, Bertrand David
EMNLP
2011
14 years 6 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...