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Pen gesture interfaces have difficulty supporting arbitrary multiple-stroke selections because lifting the pen introduces ambiguity as to whether the next stroke should add to the existing selectio...
Selection is a fundamental task in interactive applications, typically performed by clicking or lassoing items of interest. However, users may require more nuanced forms of selection. Selecting reg...
We tackle the network selection problem in operator-initiated mobile data offloading by considering both the predictive and non-predictive cases. For the non predictive case, we use the Lyapunov optim...
This paper discusses how to efficiently choose from n unknown distributions the k ones whose means are the greatest by a certain metric, up to a small relative error.We study the topic under two stand...
The performance of fast forward-backward splitting, or equivalently fast proximal gradient methods, is susceptible to conditioning of the optimization problem data. This conditioning is related to a m...
The Line flow Contingency Selection and Ranking (CS & R) is performed to rank the critical contingencies in order of their severity. An Artificial Neural Network based method for MW security assessmen...
The main goal of this thesis is to investigate query-dependent selection of retrieval alternatives for Information Retrieval (IR) systems. Retrieval alternatives include choices in representing querie...
Given a Gaussian Markov random field, we consider the problem of selecting a subset of variables to observe which minimizes the total expected squared prediction error of the unobserved variables. We ...
Because of the evolution of markets and technologies, prototyping concerns should be kept updated almost day by day. Moreover, user centered design moves the focus towards interaction issues. Prototyp...
When a firm decides to implement ERP softwares, the resulting consequences can pervade all levels, includ- ing organization, process, control and available information. Therefore, the first decision t...
Automatic facial expression recognition for novel individuals from 3D face data is a challenging task in pattern analysis. This paper describes a feature selection process for pose-invariant 3D facial...
Maximizing the joint dependency with a minimum size of variables is generally the main task of feature selection. For obtaining a minimal subset, while trying to maximize the joint dependency with the...
This paper presents an effective decision making framework for software selection in manufacturing industries using a multiple criteria decision making method, Preference Ranking Organization Method f...
This paper proposed a linear rate-distortion (RD) cost model for skip mode in H.264. The proposed RD cost model is derived theoretically based on the quantization scheme of H.264, and the simulation r...

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