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SIAMJO
2000
76views more  SIAMJO 2000»
15 years 6 months ago
Superlinear Convergence and Implicit Filtering
In this note we show how the implicit filtering algorithm can be coupled with the BFGS quasi-Newton update to obtain a superlinearly convergent iteration if the noise in the object...
T. D. Choi, C. T. Kelley
CDC
2009
IEEE
109views Control Systems» more  CDC 2009»
15 years 4 months ago
Exact solution for the max-min quantum error recovery problem
This paper considers the max-min quantum error recovery problem; the recovery channel to be designed maximizes the fidelity between input and output states of a given noisy channel...
Naoki Yamamoto
TSP
2010
15 years 1 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
ACL
2012
13 years 8 months ago
Collective Generation of Natural Image Descriptions
We present a holistic data-driven approach to image description generation, exploiting the vast amount of (noisy) parallel image data and associated natural language descriptions ...
Polina Kuznetsova, Vicente Ordonez, Alexander C. B...
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
16 years 15 days ago
Robust Transmission of H.264/AVC Video using Adaptive Slice Grouping and Unequal Error Protection
We present a novel scheme for the transmission of H.264/AVC video streams over lossy packet networks. The proposed scheme exploits the error resilient features of H.264/AVC codec ...
Nikolaos Thomos, Savvas Argyropoulos, Nikolaos V. ...