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» Table extraction using conditional random fields
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ECCV
2008
Springer
16 years 4 months ago
Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections
Computer vision has traditionally focused on extracting structure, such as depth, from images acquired using thin-lens or pinhole optics. The development of computational imaging i...
Anat Levin, William T. Freeman, Frédo Duran...
FPL
2004
Springer
154views Hardware» more  FPL 2004»
15 years 7 months ago
High Performance True Random Number Generator in Altera Stratix FPLDs
Abstract. The paper presents a high performance True Random Number Generator (TRNG) embedded in Altera Stratix Field Programmable Logic Devices (FPLDs). As a source of randomness, ...
Viktor Fischer, Milos Drutarovský, Martin S...
131
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AI
2011
Springer
14 years 5 months ago
Exploiting Conversational Features to Detect High-Quality Blog Comments
Abstract. In this work, we present a method for classifying the quality of blog comments using Linear-Chain Conditional Random Fields (CRFs). This approach is found to yield high a...
Nicholas FitzGerald, Giuseppe Carenini, Gabriel Mu...
102
Voted
ISCAS
2006
IEEE
92views Hardware» more  ISCAS 2006»
15 years 8 months ago
Model of a true random number generator aimed at cryptographic applications
— The paper presents a simple stochastic model of a True Random Number Generator, which extracts randomness from the tracking jitter of a phase-locked loop. The existence of such...
Martin Simka, Milos Drutarovský, Viktor Fis...
119
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CVPR
2010
IEEE
15 years 7 months ago
Facial Point Detection using Boosted Regression and Graph Models
Finding fiducial facial points in any frame of a video showing rich naturalistic facial behaviour is an unsolved problem. Yet this is a crucial step for geometric-featurebased fa...
Michel Valstar, Brais Martinez, Xavier Binefa, Maj...