framework based on a compact representation of a textual docu-ment, to solve issues related to topic space granularity. Firstly, various topic spaces are estimated with different numbers of classes from a Latent Dirichlet Allocation. Then, this multiple topic space representa-tion is compacted

The principle aim of this dissertation is to investigate the philosophical application of quantum information theory to interpretational issues regarding the theory of quantum mechanics. Recently, quantum information theory has emerged as a potential source for such an interpretation. The main question with which this dissertation will be concerned is whether or not an information-theoretic interpretation can serve as a conceptually acceptable interpretation of quantum mechanics. It will be argued that some of the more obvious approaches – that quantum information theory shows us that ultimately the world is made of information, and quantum Bayesianism – fail as philosophical interpretations of quantum mechanics. However, the information-theoretic approach of Clifton, Bub, and Halvorson introduces Einstein’s distinction between principle theories and constructive theories, arguing that quantum mechanics is best understood as an information-theoretic principle theory. While I argue that this particular approach fails, it does offer a viable new philosophical role for information theory. Specifically, an investigation of interpretationally successful principle theories such as Newtonian mechanics, special relativity, and general

geometric resolution, allows more compact encoding of smooth surfaces, and accelerates ray casts. We also employ a novel normal compression format for storing high-precision object-space normals. Finally, we present a variable-radius post-process filtering technique for smoothing out blockiness caused

meta-analysis. She presented the results of a meta-theoretical analysis based on 2065 bibliographical sources, including 956 book chapters, 936 journal articles, 65 papers presented at conferences, 57 PhD thesis chapters, 46 university reports or manuscripts and 5 web documents, all published from 1952

al. 24 are: • Algorithms to find and minimize program repairs based on test cases that describe desired functionality. The algorithms are generic in the sense that they can repair many classes of bugs. • A novel and efficient representation and set of operations for applying GP to program repair

The recently developed i-vector framework for speaker recognition has set a new performance standard in the research field. An i-vector is a compact representation of a speaker utterance extracted from a low-dimensional total variability subspace. Prior to classification using a cosine kernel, i

Implementational aspects of code-based cryptography

Predicting availability to consumers of spatially and temporally variable resources

digests or fingerprints for attack signatures during its programming phase. In its querying phase, the framework quickly identifies attack-free connections by transforming input traffic into its fingerprint space and matching its digest against those of attack signatures. If the legitimacy of a stream

variables that co-vary with numerosity. To date, mental representation of number has been convincingly documented only for a few mammals. Methodology/Principal Findings: Here we used a training procedure to investigate whether mosquitofish could learn to discriminate between two and three objects even when