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ICIP
2010
IEEE
8 years 5 months ago
Transform-domain temporal prediction in video coding: Exploiting correlation variation across coefficients
Temporal prediction in standard video coding is performed in the spatial domain, where each pixel is predicted from a motioncompensated reconstructed pixel in a prior frame. This ...
Jingning Han, Vinay Melkote, Kenneth Rose
WABI
2010
Springer
128views Bioinformatics» more  WABI 2010»
8 years 5 months ago
Sparsification of RNA Structure Prediction Including Pseudoknots
Background: Although many RNA molecules contain pseudoknots, computational prediction of pseudoknotted RNA structure is still in its infancy due to high running time and space con...
Mathias Möhl, Raheleh Salari, Sebastian Will,...
TIP
2010
123views more  TIP 2010»
8 years 5 months ago
Optimizing Motion Compensated Prediction for Error Resilient Video Coding
—This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. Fi...
Hua Yang, Kenneth Rose
QRE
2010
129views more  QRE 2010»
8 years 5 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry
PROCEDIA
2010
140views more  PROCEDIA 2010»
8 years 5 months ago
Jaccard Index based availability prediction in enterprise grids
Enterprise Grid enables sharing and aggregation of a set of computing or storage resources connected by enterprise network, but the availability of the resources in this environme...
Mustafizur Rahman 0003, Md. Rafiul Hassan, Rajkuma...
PERCOM
2010
ACM
8 years 5 months ago
Predicting mobility events on personal devices
High-end mobile phones are quickly becoming versatile sensing platforms, capable of continuously capturing the dynamic context of their owners through various sensors. A change in...
Arjan J. H. Peddemors, Henk Eertink, Ignas G. Niem...
MICCAI
2010
Springer
8 years 5 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
TNN
2008
95views more  TNN 2008»
8 years 6 months ago
Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation
Abstract--This paper investigates whether spike-timing-dependent plasticity (STDP) can minimize the effect of mismatch within the context of a depth-from-motion algorithm. To impro...
Katherine Cameron, Alan Murray
TIT
2002
116views more  TIT 2002»
8 years 7 months ago
On delayed prediction of individual sequences
Prediction of individual sequences is investigated for cases in which the decision maker observes a delayed version of the sequence, or is forced to issue his/her predictions a nu...
Marcelo J. Weinberger, Erik Ordentlich
TIT
2002
89views more  TIT 2002»
8 years 7 months ago
Universal linear least squares prediction: Upper and lower bounds
We consider the problem of sequential linear prediction of real-valued sequences under the square-error loss function. For this problem, a prediction algorithm has been demonstrate...
Andrew C. Singer, Suleyman Serdar Kozat, Meir Fede...
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